Details of a Researcher

写真a

FUJIMOTO, Yu

Affiliation

Research Council (Research Organization), Advanced Collaborative Research Organization for SmartSociety

Job title

Researcher(Associate Professor)

Concurrent Post

Faculty of Science and Engineering Graduate School of Advanced Science and Engineering

Education

　

　

　

Waseda University Graduate School, Division of Science and Engineering
　

　

　

Waseda University Graduate School, Division of Science and Engineering

Degree

博士

Research Experience

2015.04

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Associate Professor, Advanced Collaborative Research Organization for Smart Society, Waseda University
2012.04

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2015.03

Associate Professor, Institute for Nanoscience & Nanotechnology, Waseda University
2009.04

-

2012.03

Assistant Professor, Department of Integrated Information Technology, College of Science and Engineering, Aoyama Gakuin University
2008.04

-

2009.03

Assistant Professor, Department of Electrical Engineering and Bioscience, Faculty of Science and Engineering, Waseda University
2008.04

-

2009.03

Assistant Professor, Department of Electrical Engineering and Bioscience, Faculty of Science and Engineering, Waseda University
2006.04

-

2008.03

Research Associate, Department of Electrical Engineering and Bioscience, Faculty of Science and Engineering, Waseda University
2006.04

-

2008.03

Research Associate, Department of Electrical Engineering and Bioscience, Faculty of Science and Engineering, Waseda University

▼display all

Professional Memberships

　

　

　

The Institute of Electrical and Electronic Engineers (IEEE)
　

　

　

Information Processing Society of Japan

Research Areas

Statistical science

Research Interests

Forecast of Renewable Energy Sources/Energy Demand
Statistical Data Analysis for Energy Management Systems
Theory of Statistical Machine Learning

Papers

Sensitivity analysis of factors relevant to extreme imbalance between procurement plans and actual demand: Case study of the Japanese electricity market

Nanae Kaneko, Yu Fujimoto, Yasuhiro Hayashi

Applied Energy 313 118616 - 118616 2022.05 [Refereed]

DOI
Residential Battery Storage System Sizing for the Medically Vulnerable from the Life Continuity Planning Perspective: Toward Economic Operation Using Uncertain Photovoltaic Output

Fujio Iwata, Yu Fujimoto, Yasuhiro Hayashi

IEEJ Transactions on Electrical and Electronic Engineering 2022.03 [Refereed]

DOI
Dealing with uncertainty in automated operational planning for residential fuel cell system: A comparative study of state-of-the-art approaches

Yuta Tsuchiya, Yu Fujimoto, Akira Yoshida, Yoshiharu Amano, Yasuhiro Hayashi

Energy and Buildings 255 111614 - 111614 2022.01 [Refereed]

DOI
Deep reservoir architecture for short-term residential load forecasting: An online learning scheme for edge computing

Yu Fujimoto, Megumi Fujita, Yasuhiro Hayashi

Applied Energy 298 117176 - 117176 2021.09 [Refereed]

Authorship：Lead author, Corresponding author

DOI
Spatial demand forecasting based on smart meter data for improving local energy self‐sufficiency in smart cities

Ayumu Miyasawa, Shogo Akira, Yu Fujimoto, Yasuhiro Hayashi

IET Smart Cities 3 ( 2 ) 107 - 120 2021.06 [Refereed]

DOI
Forecast of Area Prices in Japanese Day-Ahead Electricity Market using Open Data

Manaka Omura, Yu Fujimoto, Yasuhiro Hayashi, Toshiyuki Sawa, Hiroto Sasaki, Naoto Fukuyama, Yoshitaka Nishino

IEEJ Transactions on Power and Energy 141 ( 5 ) 366 - 373 2021.05 [Refereed]

DOI
Prioritization of Distribution Networks for Efficient Introduction of Loss Minimum Reconfiguration Technology

Sakura Ami, Teru Miyazaki, Yu Fujimoto, Yasuhiro Hayashi, Masahiko Hasegawa, Yoshitaka Miyazato, Ikki Shinozaki

IEEJ Transactions on Power and Energy 141 ( 2 ) 127 - 135 2021.02 [Refereed]
Scheduling of Pumped-Storage Hydro Generator Operation in Balancing Group with Wind Farms

Akihisa Kaneko, Maiko Inagaki, Yu Fujimoto, Yasuhiro Hayashi, Shunsuke Nohara

IEEJ Transactions on Power and Energy 141 ( 2 ) 79 - 87 2021.02 [Refereed]
Operational Planning of a Residential Fuel Cell System for Minimizing Expected Operational Costs Based on a Surrogate Model

Yuta Tsuchiya, Yu Fujimoto, Akira Yoshida, Yoshiharu Amano, Yasuhiro Hayashi

IEEE Access 8 173983 - 173998 2020.10 [Refereed]

DOI
Designing Sustainable Smart Cities: Cooperative Energy Management Systems and Applications

Yu Fujimoto, Hideo Ishii, Yasuhiro Hayashi

IEEJ Transactions on Electrical and Electronic Engineering 15 ( 9 ) 1256 - 1270 2020.09 [Refereed] [Invited]

DOI
Electric Vehicle Charging Management Using Auction Mechanism for Reducing PV Curtailment in Distribution Systems

Hiroshi Kikusato, Yu Fujimoto, Shin-ichi Hanada, Daiya Isogawa, Shinya Yoshizawa, Hiroshi Ohashi, Yasuhiro Hayashi

IEEE Transactions on Sustainable Energy 11 ( 3 ) 1394 - 1403 2020.07 [Refereed]

DOI
Sparse Modeling Approach for Identifying the Dominant Factors Affecting Situation-Dependent Hourly Electricity Demand

Nanae Kaneko, Yu Fujimoto, Satoshi Kabe, Motonari Hayashida, Yasuhiro Hayashi

Applied Energy 254 114752 2020.05 [Refereed]

DOI
Multipurpose Control and Planning Method for Battery Energy Storage Systems in Distribution Network with Large-Scale Photovoltaic Systems

Satoru Akagi, Shinya Yoshizawa, Masakazu Ito, Yu Fujimoto, Teru Miyazaki, Yasuhiro Hayashi, Takashi Yano, Toshiya Hisada, Katsuhisa Tawa

International Journal of Electrical Power & Energy Systems 116 ( 3 ) 105485 2020.03 [Refereed]

DOI
Hot Water Demand Prediction Method for Operational Planning of Residential Fuel Cell System

Yuta Tsuchiya, Yasuhiro Hayashi, Yu Fujimoto, Akira Yoshida, Yoshiharu Amano

7th International Conference on Smart Grid, icSmartGrid 2019 46 - 51 2019.12

　View Summary

© 2019 IEEE. This study proposes a hot water demand prediction method for operational planning of polymer electrolyte fuel cell cogeneration systems (PEFC-CGSs). PEFC-CGSs provide hot water by utilizing waste heat produced in the electricity generation process. An optimal operational plan according to household demand leads to further energy saving. Therefore, operational planning methods based on household demand prediction have received intense focus. In particular, the prediction of the amount of hot water demand is important for efficient operation. The authors have attempted to improve the hot water prediction method based on multivariate random forest (MRF), which uses the average of many decision trees' outputs as the prediction result. However, some experimental results show that a prediction strategy based on averaging the outputs of decision trees does not always lead to the best solution. In this study, the authors propose a novel prediction method utilizing the quantile of the estimation results derived in MRF. By setting the appropriate quantile, we can evade the demand underestimation, which has a higher negative impact on operational efficiency than overestimation. The usefulness of the proposed approach is evaluated via numerical simulations using real-world demand data.

DOI
Analysis of Operation Plans of Residential PEFC-CGS: a Perspective of Cost Optimality under Demand Uncertainty

Yuta Tsuchiya, Yu Fujimoto, Akira Yoshida, Yoshiharu Amano, Yasuhiro Hayashi

Journal of International Council on Electrical Engineering 9 ( 1 ) 105 - 112 2019.12 [Refereed]

DOI
Estimation of expected cost curve on operation parameter space for planning residential PEFC-CGS

Yuta Tsuchiya, Yasuhiro Hayashi, Yu Fujimoto, Akira Yoshida, Yoshiharu Amano

2019 IEEE Milan PowerTech, PowerTech 2019 2019.06

　View Summary

© 2019 IEEE. This study proposes an operation planning method for polymer electrolyte fuel cell cogeneration systems (PEFC-CGSs). PEFC-CGSs provide hot water by utilizing waste heat produced in the electricity generation process. An appropriate operation plan according to household demand will lead to further energy saving. The authors have discussed a framework for estimating expected operation costs of individual operation plans to select an appropriate candidate that minimizes the cost. In this scheme, the expected cost under each corresponding operation was independently estimated. This approach can be expected to provide accurate prediction of costs under individual operations. However, one open issue remains; it may not work well in estimating relative goodness compared to other operations. In this study, the authors propose a new cost estimation approach, focusing on relative appropriateness in candidate plans based on a multiple output prediction. The usefulness of the proposed approach is proved via a numerical simulation.

DOI
Time Series Model of Wind Power Forecasting Error by using Beta Distribution for Optimal Sizing of Battery Storage

Xiaowei Dui, Masakazu Ito, Yu Fujimoto, Yasuhiro Hayashi, Guiping Zhu, Liangzhong Yao

IEEJ Transactions on Power and Energy 139 ( 3 ) 212 - 224 2019.03 [Refereed]

DOI
Machine Learning Approach for Analysis of Energy-Aware Growth Control in Plant Factories

Yu Fujimoto, Saya Murakami, Nanae Kaneko, Hideki Fuchikami, Toshirou Hattori, Yasuhiro Hayashi

IEEE Access 7 32183 - 32196 2019.03 [Refereed]

DOI
Enhancing Security for Voltage Control of Distribution Systems under Data Falsification Attacks

Mizuki Onogawa, Shinya Yoshizawa, Yu Fujimoto, Hideaki Ishii, Isao Ono, Takashi Onoda, Yasuhiro Hayashi

2019 AMERICAN CONTROL CONFERENCE (ACC) 3249 - 3254 2019

　View Summary

We consider enhancing cyber security in voltage regulation of distribution systems in the presence of malicious attacks. Due to the increase in distributed generation, the regulation of voltage has become more complicated, requiring more sensor data to be used for control. Recently, we have developed an attack detection algorithm to find data falsification attacks on voltage measurements transmitted by sectionizing switches in the feeders to a centralized controller. In this paper, the security level of the system is further improved by introducing a controller that is capable of operating the regulation in the presence of attacks by utilizing the detection results. In particular, it identifies abnormal behavior in the sensor data and ignores measurements taking extreme values among those received. Through detailed simulation studies on a small scale distribution system, we show the effectiveness of the proposed control and analyze the relation between the number of attacks and the detectability of the attacks.
An online HEMS scheduling method based on deep recurrent neural network

Akira Yoshida, Yu Fujimoto, Yoshiharu Amano, Yasuhiro Hayashi

ECOS 2019 - Proceedings of the 32nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems 1327 - 1335 2019

　View Summary

© ECOS 2019 - Proceedings of the 32nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems. All rights reserved. For a daily-basis scheduling of an energy system, energy management system often enough to use not a global optimal scheduling but a near optimal scheduling. The article proposes an online scheduling framework without online optimization. The framework is built from two encoder-decoder architectures to extract features of time series; a multi-layer long short-term memory regression model for multi-step time-series forecasting, and multi-class and single-label classification model for on/off scheduling of a device. The models are estimated at offline, and return scheduling from historical time series as input, at online. We evaluate the accuracy of scheduling from the viewpoint of Kullback-Leibler divergence which measures the dissimilarity between two probability distributions. Through the numerical experiments, we demonstrate the usefulness of the proposed framework.
Energy Disaggregation Based on Smart Metering Data via Semi-Binary Nonnegative Matrix Factorization

Ayumu Miyasawa, Yu Fujimoto, Yasuhiro Hayashi

Energy and Buildings 183 547 - 558 2019.01 [Refereed]

DOI
Alerting to Rare Large-Scale Ramp Events in Wind Power Generation

Yu Fujimoto, Yuka Takahashi, Yasuhiro Hayashi

IEEE Transactions on Sustainable Energy 10 ( 1 ) 55 - 65 2019.01 [Refereed]

DOI
Electric Vehicle Charge-Discharge Management for Utilization of Photovoltaic by Coordination Between Home and Grid Energy Management Systems.

Hiroshi Kikusato, Kohei Mori, Shinya Yoshizawa, Yu Fujimoto, Hiroshi Asano, Yasuhiro Hayashi, Akihiko Kawashima, Shinkichi Inagaki, Tatsuya Suzuki 0001

IEEE Trans. Smart Grid 10 ( 3 ) 3186 - 3197 2019 [Refereed]

DOI
Feature Extraction of NWP Data forWind Power Forecasting Using 3D-Convolutional Neural Networks

Kazutoshi Higashiyama, Yu Fujimoto, Yasuhiro Hayashi

Energy Procedia 155 350 - 358 2018.11 [Refereed]

DOI
Temporal Interpolation of Gridded Solar Radiation Data for Evaluation of PV Fluctuations

Daigo Hirooka, Noboru Murata, Yu Fujimoto, Yasuhiro Hayashi

Energy Procedia 155 259 - 268 2018.11 [Refereed]

DOI
Expected Wind Speed Estimation Considering Spatio-Temporal Anisotropy for Generating Synthetic Wind Power Profiles

Kouki Hama, Yu Fujimoto, Yasuhiro Hayashi

Energy Procedia 155 309 - 319 2018.11 [Refereed]

DOI
Operation planning method for home air-conditioners considering characteristics of installation environment

Ryoichi Kuroha, Yu Fujimoto, Wataru Hirohashi, Yoshiharu Amano, Shin-ichi Tanabe, Yasuhiro Hayashi

ENERGY AND BUILDINGS 177 351 - 362 2018.10 [Refereed]

　View Summary

Home energy management systems (HEMSs) are the system to manage the energy usage in houses. The use of HEMSs, and especially those which are capable of automatically controlling home energy appliances such as air-conditioners (ACs), is expected to manage energy utilized in domestic field effectively. In the present study, we focused on automatic AC operation by HEMS with the combined goal of improving thermal comfort while reducing electricity costs. In general, the room temperature and electricity consumption of an AC are highly dependent on the characteristics of the installation environment. so that the derivation of an appropriate AC operation plan is generally a difficult task. To tackle this problem, an energy management method to provide AC operation plan tailor-made for the target AC installation environmental by learning the characteristics of the installation environment (CIE) from the historical operation result data is proposed. The efficacy of the proposed method is verified via numerical and real-world experiments. (C) 2018 Elsevier B.V. All rights reserved.

DOI
Energy cost minimization in plant factories considering weather factors using additive Bayesian networks

Saya Murakami, Yu Fujimoto, Yasuhiro Hayashi, Hideki Fuchikami, Toshirou Hattori

Journal of International Council on Electrical Engineering 8 ( 1 ) 127 - 134 2018.07 [Refereed]

DOI
Versatile Modeling Platform for Cooperative Energy Management Systems in Smart Cities

Yasuhiro Hayashi, Yu Fujimoto, Hideo Ishii, Yuji Takenobu, Hiroshi Kikusato, Shinya Yoshizawa, Yoshiharu Amano, Shin-Ichi Tanabe, Yohei Yamaguchi, Yoshiyuki Shimoda, Jun Yoshinaga, Masato Watanabe, Shunsuke Sasaki, Takeshi Koike, Hans-Arno Jacobsen, Kevin Tomsovic

PROCEEDINGS OF THE IEEE 106 ( 4 ) 594 - 612 2018.04 [Refereed]

　View Summary

With growing attention to sustainability and recognition of the impact of global warming problems, energy supply and consumption have become critically important. This paper presents the construction of a modeling platform accommodating cooperative energy management systems (EMSs), which virtually produces the model of a smart city with a distribution network (DN) by using a wide range of data obtained from the real world. The platform involves models of various EMSs, governing the operation of a power system or controlling consumer-installed devices, and simulating the power flow, electrical losses, and voltage in the DN. In addition, indices measuring the sustainability of the model city, such as CO2 emission, are estimated from scenarios, for example, photovoltaic system installation, electric vehicle penetration, etc. The results can be visually displayed and the platform is highly versatile and applicable to various types of issues associated with smart cities. Two case studies are presented in detail.

DOI
Distributed Energy Management for Comprehensive Utilization of Residential Photovoltaic Outputs

Yu Fujimoto, Hiroshi Kikusato, Shinya Yoshizawa, Shunsuke Kawano, Akira Yoshida, Shinji Wakao, Noboru Murata, Yoshiharu Amano, Shin-ichi Tanabe, Yasuhiro Hayashi

IEEE TRANSACTIONS ON SMART GRID 9 ( 2 ) 1216 - 1227 2018.03 [Refereed]

　View Summary

The introduction of photovoltaic power systems is being significantly promoted. This paper proposes the implementation of a distributed energy management framework linking demand-side management systems and supply-side management system under the given time-of-use pricing program for efficient utilization of photovoltaic power outputs; each system implements a consistent management flow composed of forecasting, operation planning, and control steps. In our framework, demand-side systems distributed in the electric distribution network manage individual energy consumption to reduce the residential operating cost by utilizing the residential photovoltaic power system and controllable energy appliances so as not to inconvenience residents. On the other hand, the supply-side system utilizes photovoltaic power maximally while maintaining the quality of electric power. The effectiveness of the proposed framework is evaluated on the basis of an actual Japanese distribution network simulation model from both the supply-side and demand-side viewpoints.

DOI
Method for determining voltage control parameters of low-voltage regulator using forecast interval of photovoltaic output

Masaya Kobayashi, Hiroshi Kikusato, Jun Yoshinaga, Yu Fujimoto, Nao Kumekawa, Shinji Wakao, Yasuhiro Hayashi, Noriyuki Motegi, Yusuke Yamashita

2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings 2018-January 1 - 6 2018.01

　View Summary

© 2017 IEEE. A low-voltage regulator (LVR) is investigated as a countermeasure for voltage violation caused by the integration of photovoltaic (PV) systems in distribution systems. To achieve appropriate voltage control by the LVR, the appropriate control parameters need to be determined. We have proposed schemes to determine the appropriate control parameters using PV forecast profiles. In a previous work, the control parameters were determined on the basis of one-scenario PV forecast, which derives one forecast value in each time step. However, voltage violation could not be avoided by this method in a time step with a large forecast error. In this paper, we propose a method for determining the voltage control parameters of the LVR based on the forecast interval of the PV outputs to quantitatively consider the PV forecast error. The numerical simulation results show that the proposed method can reduce the amount of voltage deviation compared with the conventional method.

DOI
Asynchronous ADMM HEMS aggregation scheme in smart grid

Akira Yoshida, Yu Fujimoto, Yoshiharu Amano, Yasuhiro Hayashi

ECOS 2018 - Proceedings of the 31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems 2018

　View Summary

© 2018 University of Minho. All rights reserved. There is a high demand that aggregating Home Energy Management System (HEMS) as demand response service. Aggregation scheme is divided into the centralized and decentralized approach. On the one hand, in a centralized fashion, a controller manages all device. On the other hand, in a decentralized fashion, a local controller manages own devices and exchanges information for achieving the global optimum. Our previous work has proposed decentralized HEMS aggregation with Alternating Direction Method of Multipliers (ADMM) to address scalability and privacy issue. The main idea of this method is that we decompose the large-scale aggregated scheduling problem into individual HEMS scheduling problem by introducing local upper limit which stands for the maximum purchasable electricity from an electrical grid. This article reports that we extend the previous decentralized HEM method to asynchronous fashion in order to improve convergence time efficiency from the practical implementation perspective. We propose the waiting ratio which represents the minimum HEMS number for updating the next local upper limit. We also evaluate the algorithm processing time with changing waiting ratio and the number of households. As a result, it is confirmed that though the result shows 53% of acceleration at the most accompanied by barely 2% increase cost, the asynchronous process does not always accelerate the processing time. It may be reasonable to suppose that the degree of acceleration is decreased, as the degree of asynchrony increases, because iteration number until fulfilling converging criteria is increased.
Stochastic receding horizon control minimizing mean-variance with demand forecasting for home EMSs

Akira Yoshida, Jun Yoshikawa, Yu Fujimoto, Yoshiharu Amano, Yasuhiro Hayashi

Energy and Buildings 158 1632 - 1639 2018.01 [Refereed]

　View Summary

As demand-side energy management system (EMS) has not only a function to maximize owner's utility by automatic control but also a potential capability to respond a demand activation, demand-side EMS is expected to fulfill the key role for intelligent control of community energy management. To achieve the stable control result of EMS against the uncertain environment, it needs approach from both forecast and operation sides. The objective of this study is to construct a control scheme for a home EMS from a practicable implementation perspective and to evaluate the control performance of the scheme proposed. The scheme is composed of operational planning with receding horizon and energy demand forecasting. The goal of the scheme is to maximize householder's utility only by retrofitting the home EMS to a residential household. Throughout numerical results, it is revealed that the better control performance comes from the conservative operational strategy derived from the multiple scenarios.

DOI
Voltage Control Method Utilizing Solar Radiation Data in High Spatial Resolution for Service Restoration in Distribution Networks with PV

Shunsuke Kawano, Yu Fujimoto, Shinji Wakao, Yasuhiro Hayashi, Hideaki Takenaka, Hitoshi Irie, Takashi Y. Nakajima

JOURNAL OF ENERGY ENGINEERING 143 ( 3 ) F4016003-1 - F4016003-9 2017.06 [Refereed]

　View Summary

This paper proposes a voltage control method during service restoration in the distribution networks with photovoltaic (PV) generator systems. In the current distribution automation system (DAS) process in Japan, voltage dips and surges occur during service restoration because PVs are disconnected simultaneously after a fault and subsequently reconnected after service restoration. However, in the current DAS, voltage regulators such as an on-load tap changer (OLTC) and step voltage regulators (SVRs) are not controlled during service restoration. The proposed DAS estimates the voltage in a distribution network during service restoration, and it controls the tap position of OLTC and/or SVRs according to the predicted voltage. The numerical simulation results using a real-world distribution system model on a real map and PV output profiles derived by actual square kilometer solar radiation data will be shown. Those results indicate that the proposed DAS prevents voltage deviation that occurs as long as the current DAS is used. The results also show high spatial resolution PV output data are needed to prevent voltage deviation absolutely. (C) 2016 American Society of Civil Engineers.

DOI
Generating Synthetic Profiles of Onshore Wind Power for Power Flow Simulation on Power System

Yu Fujimoto, Seigo Furuya, Yasuhiro Hayashi, Tetsuya Osaka

JOURNAL OF ENERGY ENGINEERING 143 ( 3 ) F4016001-1 - F4016001-8 2017.06 [Refereed]

　View Summary

An increased penetration of wind energy into the power system will lead to instability of local voltage and global frequency in Japan. Power flow simulation is a powerful tool for understanding the electrical behavior in the power system caused by wind energy; however, plausible and various wind power profiles are required to perform a meaningful simulation to evaluate the effect of wind generators. This paper proposes a procedure of generating synthetic wind power profiles that involve the plausible short-term fluctuation for a power flow simulation based on the spatial kriging method and the bootstrap method. (C) 2016 American Society of Civil Engineers.

DOI
Control Methods for an Energy Storage System when Wind Power Output Deviate Grid Code

Masakazu Ito, Yu Fujimoto, Masataka Mitsuoka, Hideo Ishii, Yasuhiro Hayashi

Journal of International Council on Electrical Engineering 7 ( 1 ) 159 - 165 2017.06 [Refereed]

DOI
Stochastic model predictive control of residential fuel cell cogeneration unit with periodic forecast update for distributed architecture

Akira Yoshida, Jun Yoshikawa, Yu Fujimoto, Yoshiharu Amano, Yasuhiro Hayashi

30th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2017 2017

　View Summary

© 2017 IMEKO As communication standard, such as SEP 2.0 and ECHONET Lite, for digital communication of home appliances has been established, the research of networked control system is progressing in the domain of residential house. Instead of building new power station to fulfil new electricity requirement, such as electric vehicle charging, the concept, that an aggregator coordinates massive amount of home energy management system (HEMS) to supply negawatt power, is proposed. The aggregator requires to manipulate electricity consumption through massive amount of HMES as networked control system. As fundamental study for control algorithm of distributed architecture, this paper constructed one of the networked supervisory control system formulated as stochastic model predictive control scheme, and analysed primary energy consumption sensitivity against update interval of energy demand forecasting and operational strategy in addition to changing number of scenarios. The mainly results are concluded that: as the energy saving ratio in the case of 6 hours update interval has enough high point, which is 9.5% in comparison with the case of 24 hours update interval, the stochastic model predictive control scheme proposed in the case using six scenarios can downsample until 6 hours update interval.
Development of Prediction-based Operation Planning Method for Domestic Air-Conditioner with Adaptive Learning of Installation Environment

Ryoichi Kuroha, Yu Fujimoto, Wataru Hirohashi, Yoshiharu Amano, Shin-ichi Tanabe, Yasuhiro Hayashi

2017 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT) 2017 [Refereed]

　View Summary

The world is more aware of the need for saving energy because of increasing world energy consumption and environmental problems. To promote saving energy in the domestic field, the use of home energy management systems (HEMSs) is rapidly spreading. The HEMS which has automatically controlling function can control domestic electrical appliances including air-conditioners (ACs). In this research, we focus on AC operation plans to improve thermal comfort and reduce electricity costs for residents. However, AC control planning is generally a difficult task because the operation results greatly depend on the environmental characteristics in which the HEMS is installed. To solve this problem, we proposed an AC planning method that accounts for environmental characteristics and uncertainty in prediction by using historical data.
Forecast of Infrequent Wind Power Ramps Based on Data Sampling Strategy

Yuka Takahashi, Yu Fujimoto, Yasuhiro Hayashi

Energy Procedia 135 496 - 503 2017 [Refereed]

　View Summary

The introduction of wind power generation has been promoted in Japan. However, wind power is an unstable power source because its output varies according to the weather. Particularly, sudden changes in output, which could adversely affect the power system, are called ramps and may cause serious problems in the power system. In this paper, the authors discuss the ramp event forecast by using classifiers. A serious issue in this setup is that classification based forecast tends to be inaccurate since the occurrence of such a ramp is relatively rare. This problem is called the class imbalance problem in the machine learning field. To overcome the class imbalance problem in ramp forecast, several data sampling approaches are implemented. The effectiveness of these sampling approaches is experimentally evaluated by using a real-world wind power generation dataset. The results show that the implemented approaches drastically improved the forecast accuracy.

DOI
Deployment of Low-Voltage Regulator Considering Existing Voltage Control in Medium-Voltage Distribution Systems

Hiroshi Kikusato, Jun Yoshinaga, Yu Fujimoto, Yasuhiro Hayashi, Shinichi Kusagawa, Noriyuki Motegi

Journal of International Council on Electrical Engineering 6 ( 1 ) 252 - 260 2016.12 [Refereed]

DOI
Detection of Cyber Attacks Against Voltage Control in Distribution Power Grids With PVs

Yasunori Isozaki, Shinya Yoshizawa, Yu Fujimoto, Hideaki Ishii, Isao Ono, Takashi Onoda, Yasuhiro Hayashi

IEEE TRANSACTIONS ON SMART GRID 7 ( 4 ) 1824 - 1835 2016.07 [Refereed]

　View Summary

In this paper, we consider the impact of cyber attacks on voltage regulation in distribution systems when a number of photovoltaic (PV) systems are connected. We employ a centralized control scheme that utilizes voltage measurements from sectionizing switches equipped with sensors. It is demonstrated that if measurements are falsified by an attacker, voltage violation can occur in the system. However, by equipping the control with a detection algorithm, we verify that the damage can be limited especially when the number of attacked sensors is small through theoretical analysis and simulation case studies. In addition, studies are made on attacks which attempt to reduce the output power at PV systems equipped with overvoltage protection functions. Further discussion is provided on how to enhance the security level of the proposed algorithm.

DOI
Evaluation of Coordinated Energy Management System for Grid and Home in Distribution System with PVs

Shinya Yoshizawa, Akira Yoshida, Shunsuke Kawano, Yu Fujimoto, Yoshiharu Amano, Yasuhiro Hayashi

Journal of International Council on Electrical Engineering 6 ( 1 ) 126 - 133 2016.06 [Refereed]

DOI
Estimation Prediction Interval of Solar Irradiance Based on Just-in-Time Modeling for Photovoltaic Output Prediction

Tomohide Yamazaki, Hayato Homma, Shinji Wakao, Yu Fujimoto, Yasuhiro Hayashi

ELECTRICAL ENGINEERING IN JAPAN 195 ( 3 ) 1 - 10 2016.05 [Refereed]

　View Summary

Photovoltaic (PV) systems have recently attracted considerable attention in the context of environmental problems, antinuclear power movements, and energy problems. Therefore, the large-scale introduction of PV systems is expected in the near future. But the connection of many PV systems to the power system leads to problems. For example, the system voltage often drifts from the norm when reverse power flows increase. Accordingly, optimal system operation is required in order to make maximum use of solar energy to the maximum by installing energy buffers such as storage batteries. In particular, in forecast information, knowledge of the reliability as well as the predicted solar irradiance is essential for effective operation. In this paper, we propose a way of estimating the prediction interval of solar irradiance as an index of reliability by using just-in-time modeling. We consider the accuracy of the prediction interval under many conditions and derive a high-precision estimation method. In addition, we also discuss about the future subjects of study. (C) 2016 Wiley Periodicals, Inc. Published online in Wiley Online Library (wileyonlinelibrary.com).

DOI
Capacity Determination of a Battery Energy Storage System based on the Control Performance of Load Leveling and Voltage Control

Satoru Akagi, Shinya Yoshizawa, Jun Yoshinaga, Masakazu Ito, Yu Fujimoto, Yasuhiro Hayashi, Takashi Yano, Hideaki Nakahata, Toshiya Hisada, Xuax Mai Tran

Journal of International Council on Electrical Engineering 6 ( 1 ) 94 - 101 2016.05 [Refereed]

DOI
Optimal scheduling for residential PEM fuel cell cogeneration system under uncertainty of PV output and energy demand using MISOCP approach

Akira Yoshida, Jun Yoshikawa, Yu Fujimoto, Shinji Wakao, Yoshiharu Amano

ECOS 2016 - Proceedings of the 29th International Conference on Efficiency, Cost, Optimisation, Simulation and Environmental Impact of Energy Systems 2016

　View Summary

© 2016 University of Ljubljana. The degree of operational freedom of home appliances is increasing with introducing controllable demand-side appliances by using Home Energy Management System with some communication standard. This situation increases the demands on methodology achieving customer utility maximization, which is able to plan operational strategies of a variety of appliances under various exogenous variables such as energy demand, outlet temperature, and power output of Photovoltaic power generator. Energy demand and photovoltaic output have some uncertainty or variation in the parameter. The objective of this study is to analyze a solution behavior of an operational planning problem adapting Mixed Integer Second-Order Cone Programming extended from traditional Mixed Integer Linear Programming model. The objective function of the mathematical optimization involves mean and its variance by extracting naturally Markowitz model. Above proposed model is intended to sophisticate robust operational planning method, and is also evaluated on the EMS simulation platform that we are developing. As a result, it is found that involving variance to objective function affects to computational time meaning computational load rather than robustness of planned schedule. Additionally, using several scenario results in more robust schedule than using plausible one scenario.
Energy Disaggregation Based on Semi-Binary NMF

Masako Matsumoto, Yu Fujimoto, Yasuhiro Hayashi

MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION (MLDM 2016) 9729 401 - 414 2016 [Refereed]

　View Summary

The large-scale introduction of renewable energy resources will cause instability in the power supply. Residential energy management systems will be even more important in the near future. An important function of such systems is visualization of appliance-wise energy consumption; residents will be able to consciously avoid unnecessary consumption behavior. However, visualization requires sensors to measure appliance-wise energy consumption and is generally a costly task. In this paper, an unsupervised method for non-intrusive appliance load monitoring based on a semi-binary non-negative matrix factorization model is proposed. This framework utilizes the total power consumption patterns measured at the circuit breaker panel in a house, and derives disaggregated appliance-wise energy consumption. In the proposed approach, the energy consumption of individual appliances is estimated by considering the appliance-specific variances based on an aggregated energy consumption data set. The authors implement the proposed method and evaluate disaggregation accuracy using real world data sets.

DOI
Coordinated Voltage Control of Load Tap Changers in Distribution Networks with Photovoltaic System

Hiroshi Kikusato, Masaya Kobayashi, Jun Yoshinaga, Yu Fujimoto, Yasuhiro Hayashi, Shinichi Kusagawa, Noriyuki Motegi

2016 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT-EUROPE) 2016 [Refereed]

　View Summary

Maintaining voltage levels in distribution networks (DNs) with photovoltaic systems (PVs) is a complicated task for conventional voltage control schemes that only use a load ratio control transformer (LRT) and step voltage regulators (SVRs), because of local voltage fluctuation caused by the introduction of PVs. This paper proposes a coordinated voltage control scheme consisting of multiple kinds of load tap changers (LTCs). The proposed scheme determines the location at which to introduce low-voltage regulators (LVRs) and provides control parameters for the LTCs by considering the behavior of the other LTCs. We carried out numerical simulations using a DN model including PVs to verify the validity of the proposed scheme. The results specify the characteristics of the voltage deviation that cannot be prevented by a conventional voltage control scheme, and the proposed scheme significantly reduces such local voltage deviation.
AN OPTIMAL PREDICTIVE CONTROL OF 0.75 KW PEM FUEL CELL COGENERATION WITH HOME APPLIANCES FOR EFFICIENT PV UTILIZATION

Akira Yoshida, Jun Yoshikawa, Yu Fujimoto, Yoshiharu Amano

PROCEEDINGS OF THE ASME 14TH FUEL CELL SCIENCE, ENGINEERING, AND TECHNOLOGY CONFERENCE, 2016 2016 [Refereed]

　View Summary

This paper proposes an optimal predictive control of 0.75 kW PEM fuel-cell cogeneration with home appliances. This paper also models fuel cell system for design and operation evaluation of building equipment based on actual measurement of residential fuel cell system on sale. As one application of constructed model and proposed control method, this paper discusses concerning home EMS for efficient PV utilization.
Robust operation planning method for integrated solid oxide fuel cells in a collective housing with electric power interchange system considering uncertainty in demand forecast

Runa Kato, Yu Fujimoto, Yasuhiro Hayashi

IEEJ Transactions on Power and Energy 136 ( 6 ) 528 - 536 2016 [Refereed]

　View Summary

The subject of this study is to propose a power interchange system in a collective housing with residential solid oxide fuel cells (SOFCs) and a robust operation planning method for integrated SOFCs against uncertain energy demand forecast. In this method, the future operation plan for multiple SOFCs is optimized and determined to minimize the expected total primary energy consumption in the collective housing considering uncertainty in demand forecast. If the forecast energy demand includes forecast errors, the result of SOFCs operation will corrupt from the viewpoint of the primary energy consumption. Thus, the output decision problem for SOFCs is formulated by considering the corruption caused by forecast errors, so that the decided SOFC outputs have the robustness against uncertainty in demand forecast. The validity of the proposed method is examined based on numerical simulations from the perspective of the robustness.

DOI
Reproducing Statistical Property of Short-term Fluctuation in Wind Power Profiles

Seigo Furuya, Yu Fujimoto, Noboru Murata, Yasuhiro Hayashi

10TH INTERNATIONAL RENEWABLE ENERGY STORAGE CONFERENCE, IRES 2016 99 130 - 136 2016 [Refereed]

　View Summary

Unexpected fluctuation of wind power output will become serious problems from the viewpoint of stable supply for an electricity grid. Operating a battery system installed in the grid for mitigating the short-term fluctuation is one of the new approaches for grid stabilization. In this paper, we propose a method of generating synthetic wind power profiles with high temporal resolution for power flow simulation which aims to estimate the impact of wind power fluctuation and specify the required battery system. We numerically show the plausibility of the synthetic wind power profiles from the viewpoints of statistical properties. (C) 2016 The Authors. Published by Elsevier Ltd.

DOI
Personalized Energy Management System for Home Appliances Based on Bayesian Network

Tomoaki Shoji, Wataru Hirohashi, Yu Fujimoto, Yoshiharu Amano, Shin-ichi Tanabe, Yasuhiro Hayashi

Journal of International Council on Electrical Engineering 5 ( 1 ) 64 - 69 2015.11 [Refereed]

DOI
Method for Determining Line Drop Compensator Control Parameters of Low-Voltage Regulator Using Random Forest

Hiroshi Kikusato, Naoyuki Takahashi, Jun Yoshinaga, Yu Fujimoto, Yasuhiro Hayashi, Shinichi Kusagawa, Noriyuki Motegi

Applied Mechanics and Materials 799-800 ( Mechanical and Electrical Technology VII ) 1299 - 1305 2015.10 [Refereed]

DOI
Method for rapidly determining line drop compensator parameters of low-voltage regulator using classifiers

Hiroshi Kikusato, Naoyuki Takahashi, Jun Yoshinaga, Yu Fujimoto, Yasuhiro Hayashi, Shinichi Kusagawa, Noriyuki Motegi

IEEJ Transactions on Power and Energy 135 ( 7 ) 446 - 453 2015.07 [Refereed]

　View Summary

Compensating the voltage within the appropriate range becomes difficult when a large number of photovoltaic (PV) systems are installed. As a solution to this problem, the installation of a low-voltage regulator (LVR) has been studied. In this paper, we propose a method for rapidly and accurately determining the line drop compensator method (LDC) parameters as a part of a voltage management scheme, which consists of prediction, operation, and control. In the proposed method, candidates of the appropriate LDC parameters are selected with low computational cost by using classifiers that learns the relation between power series data and the properness of LDC parameters. We performed numerical simulations to evaluate the validity from the viewpoints of computational time and classification accuracy for determination of the LDC parameters, and verified the voltage control performance of the proposed method.

DOI
Maximum PV Penetration Capacity Evaluation of a Novel Method for Determining LDC Control Parameters of Step Voltage Regulators

Shunsuke Kawano, Shinya Yoshizawa, Yu Fujimoto, Yasuhiro Hayashi

International Journal of Electrical Energy 3 ( 1 ) 13 - 18 2015.03 [Refereed]

DOI
Estimation method of prediction interval of solar irradiance based on Just-In-Time modeling for photovoltaic output prediction

Tomohide Yamazaki, Hayato Homma, Shinji Wakao, Yu Fujimoto, Yasuhiro Hayashi

IEEJ Transactions on Power and Energy 135 ( 3 ) 160 - 167 2015.03 [Refereed]

　View Summary

PV system recently attracts much attention on the back of environmental problems, antinuclear power movements and energy problems. Therefore, a large scale introduction of PV system is expected in the near future. On the other hand, a lot of PV systems connected to the power system bring on some problems. For example, a system voltage often drifts from the norm when the reverse power flow increase. Accordingly, it is necessary to perform an optimal system operation in order to utilize a solar energy to the maximum by installing energy buffers, e.g. storage batteries. Especially, the forecast information i.e., the reliability as well as predicted solar irradiance is essential for the effective operation. In this paper, we propose a way to estimate the prediction interval of the solar irradiance as an index of reliability by using Just-In-Time Modeling (JIT Modeling). We consider the accuracy of the prediction interval under many conditions and derive the high-precision estimation method. In addition, we also talk about the future outlook of this study.

DOI
Power and Hour Capacity Requirement for an Energy Storage from Grid Codes

Masakazu Ito, Yu Fujimoto, Masataka Mitsuoka, Hideo Ishii, Yasuhiro Hayashi

2015 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC) 2015 [Refereed]

　View Summary

This paper studied power and hour capacity requirement for energy storage by two approaches. First one is evaluations without constrained condition of power and hour capacity with 80 sets of maximum ramp rates and time windows. And second one is evaluations with constrained condition of power and hour capacity for 2 grid codes (less than 0.1pu change of wind farm (WF) capacity in 20min time window, showing 0.1pu/20min in this paper, and 0.3pu/360tnin) to see details. The first evaluation in case of 3 sigma resulted 1.0 pu power capacity (charge plus discharge capacity for all result) and 1.3 to 2.2 pu-h hour capacity are required to satisfy maximum ramp rate in time window of 0.1pu/20min. And 1.2 to 1.3 pu and 13 to 18 pu-h are required for 0.3pu/360min. And from the second evaluation in case of 3 sigma, 0.7 to 0.8 pu power capacity and 1 to 2 pu-h for 0.1pu/20min and 1.0 pu and 10 to 15 pu-h are required for 0.3pu/360min. This paper provides relationship between maximum ramp rate in time windows and power and hour capacity requirement. the results help to answer questions whether power and hour capacity requirement satisfy grid codes with simple operating method of an energy storage system.
The Basic Study for Development of a Method for Determining the LDC Parameters of LRT and SVR Using PV Output Forecasting

Shunsuke Kawano, Shinya Yoshizawa, Yu Fujimoto, Yasuhiro Hayashi

2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) 2015 [Refereed]

　View Summary

This paper proposes a new method for determining the LDC (Load Drop Compensator) parameters of LRT (Load Ratio Transformer) and SVR (Step Voltage Regulator). Since the voltage control effect of LRT and SVR depends on the LDC parameter, the proper parameters should be chosen in order to control voltage within proper range. When the photovoltaic generation system is installed in the distribution system, voltage control becomes difficult and the optimal parameters in the daytime differ from those in the nighttime. In the proposed method, the parameters are reset every hour. The parameters are determined by choosing from the database including all the optimal parameters for each time period in the past. The database also includes the PV output profiles and load profiles in the past, and the proposed method searches the similar time periods in the database to the next one hour period by comparing forecasted PV output profiles with that in the database. And the common parameters among the similar time periods are chosen for the next one hour. The simulation results will be shown to evaluate the performance of proposed method.
Economic evaluations of residential energy systems based on the prediction-operational planning-control method using time-of-use prices

Ryohei Ogata, Akira Yoshida, Akira Yoshida, Yu Fujimoto, Yu Fujimoto, Noboru Murata, Noboru Murata, Shinji Wakao, Shinji Wakao, Shin Ichi Tanabe, Shin Ichi Tanabe, Yoshiharu Amano, Yoshiharu Amano

ECOS 2015 - 28th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems 2015.01

　View Summary

Demand-side electricity saving is an important factor in the reduction of the installed capacity of power-supply facilities. In order to save electricity automatically while maintaining comfort levels, home energy management systems (HEMS) have attracted attention. These systems can control residential energy equipment cooperatively to reduce electricity consumption while considering benefits to consumers. Although many researchers have evaluated HEMS, no one has conducted a study which considers the control of various types of residential energy equipment in real time along with the uncertainties of energy demands. This paper proposes a single HEMS method which connects prediction, operational planning and control steps and enables the evaluation of operational planning methods of HEMS connected with many kinds of residential energy equipment currently in use in Japan while considering the uncertainties. The purpose of this study is to evaluate the economic potential of residential energy systems based on the proposed method with the uncertainties of energy demands and photovoltaic (PV) output under time-of-use prices. The results allowed us to establish a framework to quantitatively evaluate the operational planning methods of HEMS with the uncertainties of energy demands and PV output. In addition, the usability of the proposed method was confirmed by comparing the operational costs to those of a reference method.
Advantage of a home energy management system for PV utilization connected to grid

Yoshida A, Yoshizawa S, Fujimoto Y, Murata N, Wakao S, Tanabe S.-I, Hayashi Y, Amano Y

ECOS 2015 - 28th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems 2015 [Refereed]

　View Summary

Residential houses are in the process of introducing power generators such as photovoltaic (PV) power generators and fuel cell cogeneration systems. Under current laws in Japan, surplus electricity from a residential PV system can be sold by feeding it back into the electrical grid. However, when a lot of neighboring power generators make and feed back electricity at the same time, there is an issue of an upper voltage violation of the provisions of the laws and regulations relating to the Electricity Business Act in the distribution system of the electrical grid. The issue has been solved by stopping power generators when they reach an upper voltage limit, 107V. Another solution is to acknowledge demand response signal from electrical grid operator to store electricity in residential batteries using Home Energy Management System (HEMS). The research question is that how to collaborate HEMS and Grid Energy Management System (GEMS). This paper developed an evaluation framework for the cooperative behavior between HEMS and GEMS. Using this evaluation framework, this paper demonstrated the optimal operational strategy of HEMS including PV in the case that HEMS is informed voltage profile from GEMS, and also assessed amount of PV suppression quantitatively in residential sector in practical aspect.
Distribution Automation System for Service Restoration Involving Simultaneous Disconnection and Reconnection of Distributed Generators

Shunsuke Kawano, Yu Fujimoto, Shinji Wakao, Yasuhiro Hayashi, Hideaki Takenaka, Hitoshi Irie, Takashi Y. Nakajima

2015 IEEE EINDHOVEN POWERTECH 2015 [Refereed]

　View Summary

This paper presents a distribution automation system (DAS) for service restoration in the distribution network with photovoltaic (PV) generator systems, which are disconnected simultaneously after a fault and subsequently reconnected after service restoration. Because the reverse power flow of PVs affects voltage in the distribution system, voltage dips and surges occur during the service restoration. However, current DAS do not control voltage regulators such as an on-load tap changer (OLTC) and step voltage regulators (SVRs) during the service restoration. The proposed DAS estimates the voltage in a distribution network considering the simultaneous disconnection of PVs by performing power flow calculations, and it controls the tap position of OLTC and/or SVRs according to the predicted voltage deviation. The voltage after the disconnection of PVs is calculated by estimating the PV output utilizing square kilometer solar radiation data calculated using satellite image data in real time.

DOI
Method for Determining LDC Parameters of OLTC and Multiple SVRs in Distribution System by Using Database

Shunsuke Kawano, Shinya Yoshizawa, Yu Fujimoto, Yasuhiro Hayashi

2015 5TH INTERNATIONAL YOUTH CONFERENCE ON ENERGY (IYCE) 2015 [Refereed]

　View Summary

This paper presents a new method for determining the load drop compensator (LDC) parameters of On-load tap changer (OLTC) and step voltage regulators (SVRs) in the distribution system. Introduction of photovoltaic generation systems (PVs) into a distribution system makes determining the appropriate LDC parameters difficult, which may cause voltage deviation because reverse power flow from PVs affects voltage. Especially in the distribution system in which multiple SVRs are installed, determining the appropriate combination of LDC parameters becomes difficult. In the proposed method, the parameters are reset every hour by choosing one LDC parameter from a database including feasible parameters in the past. To create the database, the proposed method hourly enumerates the feasible parameters utilizing data acquired by SCADA. To evaluate the performance of the proposed method, the amount of voltage deviation of the proposed method will be compared with that of a centralized control method.

DOI
Improvement of Prediction Interval Estimation Algorithm with Just-In-Time Modeling for PV System Operation

Tomohide Yamazaki, Shinji Wakao, Yu Fujimoto, Yasuhiro Hayashi

2015 IEEE 42ND PHOTOVOLTAIC SPECIALIST CONFERENCE (PVSC) 2015 [Refereed]

　View Summary

Output of the photovoltaic (PV) system drastically fluctuates depending on weather conditions. Therefore users of PV systems should manage their energy usage with forecast information of the PV output. Due to the reasons above, we have developed an estimation method of X% prediction interval of solar irradiance. We have achieved a high-accuracy prediction interval for any prediction coefficient X%. However, we found that there are some errors in a case where the prediction coefficient is high. In this paper, we improve the estimation algorithm of the prediction interval.

DOI
Evaluation of Improvement Effect of Voltage Quality by Reactive Power Control with Available Capacity of Residential FC Inverter

Shoichi Koinuma, Yu Fujimoto, Yasuhiro Hayashi, Takao Shinji, Yosuke Watanabe &amp, Masayuki Tadokoro

Journal of International Council on Electrical Engineering 4 ( 2 ) 108 - 113 2014.04 [Refereed]

DOI
Evaluation of CO2 Reduction and Primary Energy Savings for Collective Housing with Fuel Cells Considering Variation in Demand

Manato Kameda, Yu Fujimoto &amp, Yasuhiro Hayashi

Journal of Energy and Power Engineering 8 ( 2 ) 274 - 281 2014.02 [Refereed]

DOI
On Detection of Cyber Attacks Against Voltage Control in Distribution Power Grids

Yasunori Isozaki, Shinya Yoshizawa, Yu Fujimoto, Hideaki Ishii, Isao Ono, Takashi Onoda, Yasuhiro Hayashi

2014 IEEE INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM) 842 - 847 2014

　View Summary

In this paper, we consider the impact of cyber attacks on voltage regulation in distribution systems. We employ a centralized control scheme which utilizes voltage measurements from sectionizing switches equipped with sensors for connecting distributed generation. Through detailed case studies by simulations, it is demonstrated that if measurements are falsified by an attacker, voltage violation can occur in the system. However, by equipping the control with a detection algorithm, we verify that the damage can be limited especially when the number of attacked sensors is small. Further discussion is provided on how to enhance the security level of the proposed algorithm.
Home Energy Management Based on Bayesian Network Considering Resident Convenience

Tomoaki Shoji, Wataru Hirohashi, Yu Fujimoto, Yasuhiro Hayashi

2014 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS) 2014 [Refereed]

　View Summary

Total electricity consumption in Japan increased rapidly and the power consumption per household is also continuing to increase. The framework of demand response (DR) to promote the reduction of electricity consumption in the household sector by regulating the price of the electricity will be introduced in the future. In this situation, residents must operate their appliances so as not to affect much to their lifestyles while taking into account the power cost. A home energy management system (HEMS) will have an essential role to control appliances such as air conditioners (ACs), battery energy storage systems (BESSs), electric vehicles (EVs), and heat pump water heaters (HPWHs) and automatically match their operations to the behavior of a resident when the electricity price changes. In this study, a Bayesian network, a fundamental tool of machine learning, is adapted to an HEMS to learn the behavior of the resident and appropriate operations of controllable appliances.
K-Nearest Neighbor Approach for Forecasting Energy Demands Based on Metric Learning

Yu Fujimoto, Taiki Sugiura, Noboru Murata

INTERNATIONAL WORK-CONFERENCE ON TIME SERIES (ITISE 2014) 1127 - 1137 2014 [Refereed]

　View Summary

Forecast of the energy demand is an important topic for the realization of effective energy management. In this paper, the authors focus on the K-nearest neighbor approach for forecast of the energy demand pattern, introduce an idea of distance metric learning to select appropriate K-nearest neighbors, and propose some learning frameworks for forecasting. The proposed frameworks are evaluated based on the real-world datasets from the viewpoint of selection accuracy of the true neighbors.
Method for Instantly Determining Line Drop Compensator Parameters of Low-Voltage Regulator Using Multiple Classifiers

Hiroshi Kikusato, Naoyuki Takahashi, Jun Yoshinaga, Yu Fujimoto, Yasuhiro Hayashi, Shinichi Kusagawa, Noriyuki Motegi

2014 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT EUROPE) 2014 [Refereed]

　View Summary

A complicated voltage fluctuation in distribution systems and a decline in power quality occur when a large number of photovoltaic (PV) systems are installed. In this paper, the installation of a low-voltage regulator is assumed, and a method for instantly and accurately determining the line drop compensator (LDC) parameters is proposed to perform efficient voltage management, which consists of prediction, operation, and control. In the proposed method, the computational cost to derive the LDC parameters can be reduced by learning the optimality of the parameters in a series of load demands and the PV output using multiple classifiers. We performed numerical simulations to verify the validity of the proposed method. From the results, the classification accuracy is found to improve by considering the majority vote of multiple classifiers. Additionally, the improvement in the voltage control performance is verified.
Method for Determining Line Drop Compensator Parameters of Low Voltage Regulator using Support Vector Machine

Hiroshi Kikusato, Naoyuki Takahashi, Jun Yoshinaga, Yu Fujimoto, Yasuhiro Hayashi, Shinichi Kusagawa, Noriyuki Motegi

2014 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT) 2014 [Refereed]

　View Summary

Highly accurate predictions of load demand and photovoltaic (PV) output have become possible in recent years because of improved measuring instruments and the increase of databases on load demand and PV output. The appropriate control parameters for actual power system operation can be determined by using these predictions. Although parameters determined by conventional methods are accurate, they may not be determined in time before the beginning of operation because extensive time is required for the calculations. In this paper, the support vector machine-a machine learning method that solves the two-class classification problem-is used to determine the line drop compensator (LDC) parameters instantly. To verify the validity of the proposed method, we carried out numerical simulations to determine the LDC parameters. From the simulated results, we found that the proposed method can instantly and accurately determine the LDC parameters.
Determination method of operation plan for fuel cells in collective housing with electric power interchange system

Manato Kameda, Yu Fujimoto, Yasuhiro Hayashi

IEEJ Transactions on Power and Energy 134 ( 8 ) 682 - 691 2014 [Refereed]

　View Summary

In this paper, the authors propose an electric power interchange system in collective housing with fuel cells (FCs) and a determination method of operation plan for FCs in the collective housing. In the method, the operation plan for FCs is determined from an evaluation point, primary energy consumption of all houses in the collective housing, based on an enumeration method and particle swarm optimization (PSO) which is one of non-liner optimization methods. In order to examine the validity of the determination method, numerical simulations are carried out for the collective housing model, primary energy consumptions of the model are compared to those of a standard system (without FCs), and the reduction effects are evaluated taking uncertainty into consideration by using 10,000 demand patterns which are represented by 40 observational demand data based on the bootstrap method. In addition, the reduction effects by reducing introduced FCs by half are also evaluated from the point of primary energy consumptions, operating efficiency and running efficiency.

DOI
Nonnegative matrix factorization via generalized product rule and its application for classification

Yu Fujimoto, Noboru Murata

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7191 263 - 271 2012 [Refereed]

　View Summary

Nonnegative Matrix Factorization (NMF) is broadly used as a mathematical tool for processing tasks of tabulated data. In this paper, an extension of NMF based on a generalized product rule, defined with a nonlinear one-parameter function and its inverse, is proposed. From a viewpoint of subspace methods, the extended NMF constructs flexible subspaces which plays an important role in classification tasks. Experimental results on benchmark datasets show that the proposed extension improves classification accuracies. © 2012 Springer-Verlag.

DOI
Determination Method of Optimal Planning and Operation for Residential PV System and Storage Battery Based on Weather Forecast

Ryota Suzuki, Yasuhiro Hayashi, Yu Fujimoto

2012 IEEE INTERNATIONAL CONFERENCE ON POWER AND ENERGY (PECON) 343 - 347 2012 [Refereed]

　View Summary

This paper proposes a computation method to determine a optimal planning and operation of residential Photovoltaic Power Generation systems (PV systems) and Battery Energy Storage Systems (BESS) based on the weather forecast to each customer. In this proposed method, the optimal planning and operation are decided by changing the amount of charge in the BESS in midnight when the electric rate is cheap. This proposed method can determine the optimal planning (determination of optimal rating capacities of PV and BESS) and the optimal operation (determination of three values of the amount of charge at midnight on sunny day, cloudy day and rainy day) so as to minimize the annual cost of the household. In order to check the effectiveness of the proposed method, the optimal planning and the operation are compared on the data of two years.
Pattern Sequence-based Energy Demand Forecast Using Photovoltaic Energy Records

Yu Fujimoto, Yasuhiro Hayashi

INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA) 2012 [Refereed]

　View Summary

Considering recent trends in energy technology development, consumer's energy demand could be influenced by the renewable energy supply in any way. A simple extension of pattern sequence-based forecasting (PSF) enables us to predict demand curves based on the correlated bidimensional time-series by using co-occurrence patterns of energy supply and demand. However, prediction accuracy of PSF deeply depends on the clustering result, which is used for pattern matching. In this paper, a promising clustering method based on nonnegative tensor factorization is applied for this task and evaluated experimentally from the viewpoint of prediction accuracy.
A generalisation of independence in statistical models for categorical distribution

Yu Fujimoto, Noboru Murata

International Journal of Data Mining, Modelling and Management 4 ( 2 ) 172 - 187 2012 [Refereed]

　View Summary

In this paper, generalised statistical independence in statistical models for categorical distributions is proposed from the viewpoint of generalised multiplication characterised by a monotonically increasing function and its inverse function, and it is implemented in naive Bayes models. This paper also proposes an idea of their estimation method which directly uses empirical marginal distributions to retain simplicity of calculation. This method is interpreted as an optimisation of a rough approximation of the Bregman divergence so that it is expected to have a kind of robust property. Effectiveness of proposed models is shown by numerical experiments on some benchmark datasets. Copyright © 2012 Inderscience Enterprises Ltd.

DOI
An Estimation of Generalized Bradley-Terry Models Based on the em Algorithm

Yu Fujimoto, Hideitsu Hino, Noboru Murata

NEURAL COMPUTATION 23 ( 6 ) 1623 - 1659 2011.06 [Refereed]

　View Summary

The Bradley-Terry model is a statistical representation for one's preference or ranking data by using pairwise comparison results of items. For estimation of the model, several methods based on the sum of weighted Kullback-Leibler divergences have been proposed from various contexts. The purpose of this letter is to interpret an estimation mechanism of the Bradley-Terry model from the viewpoint of flatness, a fundamental notion used in information geometry. Based on this point of view, a new estimation method is proposed on a framework of the em algorithm. The proposed method is different in its objective function from that of conventional methods, especially in treating unobserved comparisons, and it is consistently interpreted in a probability simplex. An estimation method with weight adaptation is also proposed from a viewpoint of the sensitivity. Experimental results show that the proposed method works appropriately, and weight adaptation improves accuracy of the estimate.

DOI
A Grouped Ranking Model for Item Preference Parameter

Hideitsu Hino, Yu Fujimoto, Noboru Murata

NEURAL COMPUTATION 22 ( 9 ) 2417 - 2451 2010.09 [Refereed]

　View Summary

Given a set of rating data for a set of items, determining preference levels of items is a matter of importance. Various probability models have been proposed to solve this task. One such model is the Plackett-Luce model, which parameterizes the preference level of each item by a real value. In this letter, the Plackett-Luce model is generalized to cope with grouped ranking observations such as movie or restaurant ratings. Since it is difficult to maximize the likelihood of the proposed model directly, a feasible approximation is derived, and the em algorithm is adopted to find the model parameter by maximizing the approximate likelihood which is easily evaluated. The proposed model is extended to a mixture model, and two applications are proposed. To show the effectiveness of the proposed model, numerical experiments with real-world data are carried out.

DOI
A Generalization of Independence in Naive Bayes Model

Yu Fujimoto, Noboru Murata

INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2010 6283 153 - + 2010 [Refereed]

　View Summary

In this paper, generalized statistical independence is proposed from the viewpoint of generalized multiplication characterized by a monotonically increasing function and its inverse function, and it is implemented in naive Bayes models. This paper also proposes an idea of their estimation method which directly uses empirical marginal distributions to retain simplicity of calculation. Our method is interpreted as an optimization of a rough approximation of the Bregman divergence so that it is expected to have a kind of robust property. Effectiveness of our proposed models is shown by numerical experiments on some benchmark data sets.
ITEM-USER PREFERENCE MAPPING WITH MIXTURE MODELS -Data Visualization for Item Preference-

Yu,Fujimoto, Hino,Hideitsu, Noboru,Murata

Proceedings of the International Conference on Knowledge Discovery and Information Retrieval 105 - 111 2009.10 [Refereed]
Bregman Divergence and Density Integration

Noboru Murata &amp, Yu Fujimoto

Journal of Math-for-industry 1 ( 2009B-3 ) 97 - 104 2009.10 [Refereed]
Item Preference Parameters from Grouped Ranking Observations

Hideitsu,Hino, Yu,Fujimoto, Noboru,Murata

Advances in Knowledge Discovery and Data Mining 875 - 882 2009.04 [Refereed]

DOI
A Generalized Product Rule and Weak Independence based on Bregman Divergence

Yu Fujimoto, Noboru Murata

WMSCI 2008: 12TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL V, PROCEEDINGS 5 248 - 253 2008 [Refereed]

　View Summary

To describe the relation between some values, arithmetic operations like multiplication and division are important and conventional tools. These arithmetic operations for probabilities are characterized by the KL divergence, and hence, they can be generalized by using the Bregman divergence instead of the KL divergence. With this idea, independence of random variables is modified by generalized product rule, and a joint probability model is proposed based on this modified weak independence. Effectiveness of weak independent models is shown by numerical experiments on toy examples, and discussed from a geometrical viewpoint.
A modified EM algorithm for mixture models based on Bregman divergence

Yu Fujimoto, Noboru Murata

ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS 59 ( 1 ) 3 - 25 2007.03 [Refereed]

　View Summary

The EM algorithm is a sophisticated method for estimating statistical models with hidden variables based on the Kullback-Leibler divergence. A natural extension of the Kullback-Leibler divergence is given by a class of Bregman divergences, which in general enjoy robustness to contamination data in statistical inference. In this paper, a modification of the EM algorithm based on the Bregman divergence is proposed for estimating finite mixture models. The proposed algorithm is geometrically interpreted as a sequence of projections induced from the Bregman divergence. Since a rigorous algorithm includes a nonlinear optimization procedure, two simplification methods for reducing computational difficulty are also discussed from a geometrical viewpoint. Numerical experiments on a toy problem are carried out to confirm appropriateness of the simplifications.

DOI
Estimation of e-Mixture Models

Yu Fujimoto, Noboru Murata

Information Technology Letters 93 - 96 2006.09 [Refereed]
Robust Estimation for Mixture of Probability Tables based on beta-likelihood

Yu Fujimoto, Noboru Murata

PROCEEDINGS OF THE SIXTH SIAM INTERNATIONAL CONFERENCE ON DATA MINING 519 - 523 2006 [Refereed]

　View Summary

Modeling of a large joint probability table is problematic when its variables have a large number of categories. In such a case, a mixture of simpler probability tables could be a good model. And the estimation of such a large probability table frequently has another problem of data sparseness. When constructing mixture models with sparse data, EM estimators based on the beta-likelihood are expected more appropriate than those based on the log likelihood. Experimental results show that a mixture model estimated by the beta-likelihood approximates a large joint probability table with sparse data more appropriately than EM estimators.
Mixture of Independent Tables Estimated with Small Samples

Yu Fujimoto, Noboru Murata

Information Technology Letters 129 - 130 2005.09 [Refereed]

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Books and Other Publications

Cyber Security for Voltage Control of Distribution Systems Under Data Falsification Attacks

Hideaki Ishii, Shinya Yoshizawa, Yu Fujimoto, Isao Ono, Takashi Onoda, Yasuhiro Hayashi

Springer 2020.01 ISBN: 9783030336714
電気をよむ・あやつる-beyond 2030- 第８回有効な資源を結びつける

藤本悠, 芳澤信哉, 石井英雄, 林泰弘

オーム社 2019.10
電気をよむ・あやつる-beyond 2030- 第３回再生可能エネルギーの弱点を補う（１）再エネをよむ-データ科学的予測-

藤本悠, 石井英雄, 林泰弘

オーム社 2019.05
分散協調EMS導入の汎用評価手法の開発スマートシティ検討のためのデジタルプラットフォーム

石井英雄, 藤本悠, 林泰弘

日本工業出版クリーンエネルギー 2018.10
スマートシティの実現に向けた都市規模エネルギーマネジメントシステム評価基盤の活用とその展望

藤本悠, 石井英雄, 林泰弘( Part： Joint author)

計測自動制御学会 2018.07
分散協調EMS 実現手法の創出に向けた汎用的な実証基盤の構築と活用

2016.07
凸関数によって記述される多次元データ間の距離構造を学習する

2011.03

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Misc

集中型電圧制御に基づく大規模配電系統に対するサイバー攻撃シナリオの一検討

青木勇輔, 芳澤信哉, 藤本悠, 小野功, 石井秀明, 小野田崇, 林泰弘

計測自動制御学会システム・情報部門学術講演会講演論文集(CD-ROM) 2017 2017

J-GLOBAL
集中型電圧制御方式に基づく配電系統に対するサイバー攻撃シナリオの自動探索プラットフォームの構築

青木勇輔, 小野川瑞季, 芳澤信哉, 藤本悠, 小野功, 石井秀明, 小野田崇, 林泰弘

計測自動制御学会システム・情報部門学術講演会講演論文集(CD-ROM) 2016 2016

J-GLOBAL
集中型電圧制御に基づく配電系統のデータ改ざん攻撃に対するロバスト化手法

小野川瑞季, 芳澤信哉, 藤本悠, 石井秀明, 小野功, 小野田崇, 林泰弘

計測自動制御学会システム・情報部門学術講演会講演論文集(CD-ROM) 2016 2016

J-GLOBAL
Energy Disaggregation Based on Weighted Semi-Binary NMF

115 ( 323 ) 189 - 194 2015.11

CiNii
D-20-9 Application of Semi-Binary Matrix Factorization for Non-Intrusive Appliance Load Monitoring

Matsumoto Masako, Fujimoto Yu, Hayashi Yasuhiro

Proceedings of the IEICE General Conference 2015 ( 2 ) 178 - 178 2015.02

CiNii
Evaluation of Coordinated EMS Method between GEMS and HEMS Composed of Forecast-Operation-Control Flow

2014 ( 66 ) 63 - 67 2014.09

CiNii
S0840101 Study of Operational Policy in Residential Energy System Considering Comfort

YOSHIDA Akira, FUJIMOTO Yu, MURATA Noboru, WAKAO Shinji, TANABE Shinichi, AMANO Yoshiharu

Mechanical Engineering Congress, Japan 2014 "S0840101 - 1"-"S0840101-5" 2014.09

　View Summary

The main objectives of this study are to consider both thermal comfort and energy consumption on operational planning problem of residential energy system, and to handle uncertainty of energy demand and PV output for the future as a scenario-based stochastic programming problem. The energy system consists of photovoltaic power generator, electrical-driven room air-conditioner and PEM type fuel-cell cogeneration system. We introduce mathematical optimization theory for operational planning problem, because the targeted system has many alternative operations. As a result, the optimal operational planning problem, which is extended by considering PMV and future scenarios as constraints, concludes that the residential energy system achieves 33% of energy saving ratio in the case of 1.0 of PMV.

CiNii
Estimation of Item Preference Parameter with User Review Date

MOCHIZUKI Shunichi, FUJIMOTO Yu, MURATA Noboru

113 ( 476 ) 89 - 94 2014.03

　View Summary

There are services that recommend items such as shops or products to users based on scores or ratings that other users have given to those items. Application of the Bradley-Terry(BT) model is widely considered as a way to achieve the statistical representation of items based on ratings that users have given to items. The BT model evaluates the true preference parameters of items through the statistical representation. In this paper, a divide and conquer optimization algorithm that enables estimating preference parameters in a feasible computational time when the number of items scales up to the order of ten-thousands is proposed. A number of experimental studies using both synthetic and real datasets are provided to demonstrate the effectiveness of this method.

CiNii
年/週/日単位の変動特性に基づいた住宅負荷のクラスタ解析

井内新也, 伊藤友紀, 若尾真治, 藤本悠, 林泰弘, 逢坂哲彌

電気学会全国大会講演論文集(CD-ROM) 2014 2014

J-GLOBAL
配電系統電圧制御におけるサイバー攻撃検知に関する考察

磯崎保徳, 芳澤信哉, 藤本悠, 石井秀明, 小野功, 小野田崇, 林泰弘

計測自動制御学会制御部門マルチシンポジウム(CD-ROM) 1st 2014

J-GLOBAL
Generating Pseudo Data of Photovoltaic Generation By Using ARMA Bootstrap

2013 ( 1 ) 7 - 12 2013.11

CiNii
Energy Disaggregation for Appliance Loads Based on Semi-Supervised NMF

FUJIMOTO Yu, OKUBO Naoki, HAYASHI Yasuhiro, SUGITATE Yoshimasa, OGATA Shiro

113 ( 286 ) 185 - 190 2013.11

　View Summary

The authors propose an application of non-negative matrix factorization for the energy disaggregation task. The method is based on a semi-supervised learning framework using the additional information of binary appliance-wise usage history such that the appliance is used or not used.

CiNii
Fundamental Study on Introdution of Fuel Cells into Collective Housing Considering Demand Variability

KAMEDA Manato, FUJIMOTO Yu, HAYASHI Yasuhiro

2013 ( 52 ) 133 - 138 2013.09

CiNii
Proposal and Quantitative Evaluation of Cooperative Control Method of EV and HP for Residential PV Systems considering the behavior pattern of consumers

YAMAMOTO Kenta, HIROHASHI Wataru, FUJIMOTO Yu, HAYASHI Yasuhiro

2013 ( 34 ) 153 - 158 2013.09

CiNii
Method for Determining LDC Parameters of LVR using SVM

KIKISATO Hiroshi, TAKAHASHI Naoyuki, YOSHINAGA Jun, FUJIMOTO Yu, HAYASHI Yasuhiro, KUSAGAWA Shinichi, MOTEGI Noriyuki

2013 ( 78 ) 31 - 36 2013.09

CiNii
Evaluation of Voltage Imbalance and Amount of Reactive Power Output by Reactive Power Control with Available Capacity of Residential FC Invertor

2013 ( 78 ) 49 - 52 2013.09

CiNii
Evaluation of Determination approach of Optimal Allocation and Transfer of SVRs for Uncertainty of PV Penetration in Distribution System

YOSHIZAWA Shinya, FUJIMOTO Yu, HAYASHI Yasuhiro, KAMIYA Eiji

2012 ( 143 ) 7 - 11 2012.08

CiNii
Evaluation of Determination approach of Optimal Allocation and Transfer of SVRs for Uncertainty of PV Penetration in Distribution System

YOSHIZAWA Shinya, FUJIMOTO Yu, HAYASHI Yasuhiro, KAMIYA Eiji

2012 ( 159 ) 7 - 11 2012.08

CiNii

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Research Projects

Extension and Application of Statistical Models Based on Bregman Divergence

Project Year :

2010.04

-

2013.03

　View Summary

In this study, we focused on a class of statistical models associated with the Bregman divergence which achieves robust estimation in calculating statistics. We have proposed some methods for estimation of these models, and analyzed some properties from the viewpoint of application for data analysis. Particularly, we generalized the definition of statistical independence by using an extension of the multiplication rule between positive values; the extension is derived from the Bregman divergence. We have shown that the proposed statistical models based on generalized independence can be useful tools in practical data analysis by alleviating the conditional independence assumed in the conventional methods

Presentations

可制御電源が地域新電力モデルにもたらす電力地産地消効果の検討

宮澤歩夢, 飯野穣, 藤本悠, 林泰弘

令和3年電気学会電力・エネルギー部門大会

Event date：
2021.08

　

　
電力地産地消の実現に向けたスマートメータデータに基づく都市のネット需要の空間分布予測

明祥吾, 宮澤歩夢, 藤本悠, 林泰弘

令和3年電気学会電力・エネルギー部門大会

Event date：
2021.08

　

　
不足インバランスの削減を目的としたウィンドファームと定速揚水発電機のバランシンググループ運用

稲垣舞子, 金子曜久, 藤本悠, 林泰弘, 蓑津真一郎

令和3年電気学会電力・エネルギー部門大会

Event date：
2021.08

　

　
一次調整力提供のための家庭用燃料電池と蓄電池のアグリゲーション手法

金子奈々恵, 藤本悠, 広橋亘, 林泰弘, 平井友之, 田嶋翔太

令和3年電気学会全国大会

Event date：
2021.03

　

　
風力発電とのバランシンググループにおける可変速揚水発電機の調整力としての運転手法-30分計画値同時同量のための出力制御-

稲垣舞子, 金子曜久, 藤本悠, 林泰弘, 蓑津真一郎

令和3年電気学会全国大会

Event date：
2021.03

　

　
低圧系統における効果的なEV群協調充電実現に向けた制御対象のグルーピングに関する検討

小倉大誠, 芳澤信哉, 藤本悠, 光岡正隆, 林泰弘, 木内寛充, 村井謙介, 鈴木健太

令和3年電気学会全国大会

Event date：
2021.03

　

　
電力地産地消を目的とした地域エネルギーマネジメントシステムにおけるメガソーラー導入への可制御電源の寄与効果検証

宮澤歩夢, 飯野穣, 藤本悠, 光岡正隆, 林泰弘, 小林広介, 国分晋裕

令和3年電気学会全国大会

Event date：
2021.03

　

　
電力地産地消の実現に向けたスマートメータデータに基づく都市需要の日周期性を考慮した空間分布予測

明祥吾, 宮澤歩夢, 藤本悠, 林泰弘

令和3年電気学会全国大会

Event date：
2021.03

　

　
スマートメータの計測情報を用いたエリア内家庭用太陽光発電総量把握手法の検討

村山拓海, 藤本悠, 林泰弘

令和3年電気学会全国大会

Event date：
2021.03

　

　
Basic Study on Cooperative Management Scheme of Electric Vehicle Charging for Reduction of Impact on Low-Voltage Distribution System

Taisei Ogura, Shinya Yoshizawa, Yu Fujimoto, Masataka Mitsuoka, Yasuhiro Hayashi, Kensuke Murai, Kenta Suzuki, Keigo Ikezoe

International Conference on Smart Grids and Energy Systems

Event date：
2020.11

　

　
Charging Prioritization of Electric Vehicles Under Peak Demand in Commercial Facility: Destination Charging as a Service

Shota Miyahara, Shinya Yoshizawa, Yu Fujimoto, Yasuhiro Hayashi, Shinkichi Inagaki, Akihiko Kawashima, Tatsuya Suzuki

International Conference on Smart Grids and Energy Systems

Event date：
2020.11

　

　
Graphical Modeling for Analysis of Hourly Electricity Demand and Market Price

Nanae Kaneko, Yu Fujimoto, Yasuhiro Hayashi

17th International Conference on European Energy Market (Online)

Presentation date： 2020.09
Day-Ahead Electricity Price Forecasting Using an Adaptive Combination Method in the Japanese Spot Market

Manaka Omura, Yu Fujimoto, Hideo Ishii, Yasuhiro Hayashi, Toshiyuki Sawa, Hiroto Sasaki, Naoto Fukuyama, Yoshitaka Nishino

17th International Conference on European Energy Market (Online)

Presentation date： 2020.09
低圧配電系統における電圧逸脱と設備容量超過を低減するための系統内EV群充電マネジメントの基礎検討

小倉大誠, 芳澤信哉, 藤本悠, 光岡正隆, 林泰弘, 村井謙介, 鈴木健太, 池添圭吾

令和2年電気学会電力・エネルギー部門大会

Presentation date： 2020.09
配電損失最小構成技術の効果的普及に向けた適地選定のための統計的スクリーニング手法

阿美咲良, 宮崎輝, 藤本悠, 林泰弘, 長谷川匡彦, 宮里善貴, 篠崎一樹

令和2年電気学会電力・エネルギー部門大会

Presentation date： 2020.09
電力地産地消を目的としたスマートメータデータに基づく都市需要の空間的分布予測の検討

明祥吾, 宮澤歩夢, 藤本悠, 林泰弘

令和2年電気学会電力・エネルギー部門大会

Presentation date： 2020.09
電力負荷推移の要因分析を目的とした統計的グラフ構造の解析-日本とドイツの比較-

金子奈々恵, 藤本悠, 林泰弘

令和2年電気学会電力・エネルギー部門大会

Presentation date： 2020.09
短期風力発電量予測の評価の検討：北海道における変動緩和要件の観点から

中山優佳, 藤本悠, 林泰弘, 野原大輔, 大庭雅道, 門倉真二

令和2年電気学会電力・エネルギー部門大会

Presentation date： 2020.09
機器消費電力推移波形の形状に着目した機器別消費電力推定手法の検討

藤田恵, 藤本悠, 林泰弘

令和2年電気学会電力・エネルギー部門大会

Presentation date： 2020.09
風力発電の安定利用を目的としたバランシンググループにおける揚水発電機の運転計画決定手法

金子曜久, 稲垣舞子, 藤本悠, 林泰弘, 野中俊介

令和2年電気学会電力・エネルギー部門大会

Presentation date： 2020.09
機器のON/OFF状態推定機構を導入したRestricted Boltzmann Machineに基づく機器消費電力推定手法の検討

藤田恵, 藤本悠, 林泰弘

電気学会令和2年電気学会全国大会

Presentation date： 2020.03
EV充電が柱上変圧器の設備利用率に与える影響の評価

小倉大誠, 芳澤信哉, 藤本悠, 光岡正隆, 林泰弘, 村井謙介, 鈴木健太, 池添圭吾

電気学会令和2年電気学会全国大会

Presentation date： 2020.03
複数予測結果の統合による電力スポット市場価格予測-精度向上に向けた状況別統合の検討-

大村愛花, 藤本悠, 林泰弘, 澤敏之, 佐々木浩人, 福山直人, 西野由高

電気学会令和2年電気学会全国大会

Presentation date： 2020.03
契約電力制約を考慮した商業施設利用者に対するEV充電サービスの検討

宮原将太, 芳澤信哉, 藤本悠, 林泰弘, 稲垣伸吉, 川島明彦, 鈴木達也

電気学会令和2年電気学会全国大会

Presentation date： 2020.03
テンソル分解手法を用いた都市における人の時空間的動的挙動解析の検討

板場直人, 金子奈々恵, 藤本悠, 林泰弘

電気学会令和2年電気学会全国大会

Presentation date： 2020.03
On Nonintrusive Monitoring of Electrical Appliance Load via Restricted Boltzmann Machine with Temporal Reservoir

Megumi Fujita, Yu Fujimoto, Yasuhiro Hayashi

12th International Conference on Agents and Artificial Intelligence (Valletta) INSTICC

Presentation date： 2020.02
配電損失削減を目的とした系統構成計画に対する年間電力需要の不確実性を考慮した運用最適性評価手法

阿美咲良, 宮崎輝, 藤本悠, 林泰弘, 山本良太, 安居昂紀

令和元年電気学会電力・エネルギー部門大会電気学会

Presentation date： 2019.09
施設契約電力を考慮した商業施設におけるEV 充電サービスに関する基礎検討

宮原将太, 芳澤信哉, 藤本悠, 稲垣伸吉, 川島明彦, 鈴木達也, 林泰弘

令和元年電気学会電力・エネルギー部門大会電気学会

Presentation date： 2019.09
オープンデータに基づく電力スポット市場のエリア価格予測-複数予測結果の統合アプローチの検討-

大村愛花, 藤本悠, 林泰弘, 澤敏之, 佐々木浩人, 福山直人, 西野由高

令和元年電気学会電力・エネルギー部門大会電気学会

Presentation date： 2019.09
デマンドレスポンスの支援を想定したDeep Echo State Network による機器消費電力の短時間先予測の検討

藤田恵, 藤本悠, 林泰弘

令和元年電気学会電力・エネルギー部門大会電気学会

Presentation date： 2019.09
エネルギー消費量の削減支援を目的とした業務用ビルにおける機器別消費電力推定技術の検討

中山優佳, 藤本悠, 山口亮, 大西堯, 加藤貴大, 小澤吉賢, 林泰弘

令和元年電気学会電力・エネルギー部門大会電気学会

Presentation date： 2019.09
次世代路面電車交通と協調したEV 充電制御による配電系統ピークカット効果の基礎検討

小鯖裕之, 小林宏泰, 宮崎輝, 藤本悠, 飯野穣, 光岡正隆, 近藤圭一郎, 林泰弘, 山本良太, 長谷川匡彦, 吉永淳

令和元年電気学会電力・エネルギー部門大会電気学会

Presentation date： 2019.09
積算給湯需要予測に基づく家庭用燃料電池の運用計画作成手法

土屋祐太, 藤本悠, 吉田彬, 天野嘉春, 林泰弘

令和元年電気学会電力・エネルギー部門大会電気学会

Presentation date： 2019.09
時別電力負荷推移の要因分析を目的とした統計的グラフ構造解析の検討

金子奈々恵, 藤本悠, 林泰弘

令和元年電気学会電力・エネルギー部門大会電気学会

Presentation date： 2019.09
Enhancing Security for Voltage Control of Distribution Systems under Data Falsification Attacks

Mizuki Onogawa, Shinya Yoshizawa, Yu Fujimoto, Hideaki Ishii, Isao Ono, Takashi Onoda, Yasuhiro Hayashi

2019 Americal Control Conference

Presentation date： 2019.07
Analysis of Procurement and Supply Imbalance from the Viewpoint of Japanese Imbalance Settlement System

Nanae Kaneko, Yu Fujimoto

25th International Conference on Electrical Engineering

Presentation date： 2019.07
Evaluation of Impact on Light Rail Transit Using Integrated Dynamic Modeling of Power and Transportation System

Hiroyuki Kosaba, Hiroyasu Kobayashi, Yuji Takenobu, Teru Miyazaki, Yu Fujimoto, Yutaka Iino, Masataka Mitsuoka, Keichiro Kondo, Yasuhiro Hayashi, Ryota Yamamoto, Masahiko Hasegawa, Jun Yoshinaga

25th International Conference on Electrical Engineering

Presentation date： 2019.07
Forecast of Electricity Spot Prices in Japan on Integrating Multiple Open Data-Driven Prediction Methods

Manaka Omura, Yu Fujimoto, Toshiyuki Sawa, Hiroto Sasaki, Naoto Fukuyama, Yoshitaka Nishino, Yasuhiro Hayashi

25th International Conference on Electrical Engineering

Presentation date： 2019.07
Robustness Evaluation Method of Loss Minimization Approach for Actual Distribution Network Configuration against Uncertainty of Annual Load and PV Curves

Sakura Ami, Yuji Takenobu, Shingo Uchiyama, Teru Miyazaki, Yu Fujimoto, Yasuhioro Hayashi, Ryota Yamamoto, Takaki Yasui

25th International Conference on Electrical Engineering

Presentation date： 2019.07
Residential Battery Control Method for Life Continuity Planning in Home with Medical Equipment

Fujio Iwata, Shinya Yoshizawa, Yu Fujimoto, Yasuhiro Hayashi, Akihiro Iwata

25th International Conference on Electrical Engineering

Presentation date： 2019.07
An Online HEMS Scheduling Method Based on Deep Recurrent Neural Network

Akira Yoshida, Yu Fujimoto, Yoshiharu Amano, Yasuhiro Hayashi

32nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems

Presentation date： 2019.06
Estimation of Expected Cost Curve on Operation Parameter Space for Planning Residential PEFC-CGS

Yuta Tsuchiya, Yu Fujimoto, Akira Yoshida, Yoshiharu Amano, Yasuhiro Hayashi

13th IEEE PES PowerTech Conference IEEE

Presentation date： 2019.06
Toward Data-Driven Identification of Essential Factors Causing Seasonal Change in Daily Electricity Demand Curves

Nanae Kaneko, Yu Fujimoto, Yasuhiro Hayashi

13th IEEE PES PowerTech Conference IEEE

Presentation date： 2019.06
風力発電予測・制御高度化に向けた風力発電のランプ予測技術と出力制御技術開発

早崎宣之, 荻本和彦, 占部千由, 飯田誠, 藤本悠, 野原大輔, 池田亮作, 加藤央之, 小笠原範光

平成31年電気学会全国大会

Presentation date： 2019.03
配電系統におけるPV 導入推移の不確定性を考慮した長期的な電圧調整設備配備計画の一検討

三上大智, 芳澤信哉, 藤本悠, 林泰弘, 松田源立

平成31年電気学会全国大会

Presentation date： 2019.03
家庭用燃料電池の運用計画作成のための給湯需要予測手法に関する一検討

土屋祐太, 藤本悠, 吉田彬, 天野嘉春, 林泰弘

平成31年電気学会全国大会

Presentation date： 2019.03
インバランス料金の算定機構に着目した変数間の関係性の把握に基づく需給状況の解析

金子奈々恵, 藤本悠

平成31年電気学会全国大会

Presentation date： 2019.03
LRTとEVによる電化交通システムが配電系統運用に与える影響の基礎評価

小鯖裕之, 小林宏泰, 竹延裕二, 宮崎輝, 藤本悠, 飯野穣, 光岡正隆, 近藤圭一郎, 林泰弘, 山本良太, 長谷川匡彦, 吉永淳

平成31年電気学会全国大会

Presentation date： 2019.03
高次元オープンデータに基づく電力スポット市場価格予測-複数予測結果の統合アプローチの検討-

大村愛花, 藤本悠, 林泰弘, 澤敏之, 佐々木浩人, 福山直人, 西野由高

平成31年電気学会全国大会

Presentation date： 2019.03
エリア風力発電量予測の高度化-気象場予測データに対する時空間特徴量抽出-

東山和寿, 藤本悠, 林泰弘

平成31年電気学会全国大会

Presentation date： 2019.03
デマンドレスポンスの支援を想定した機器消費電力の短時間先予測の検討

藤田恵, 藤本悠, 林泰弘

平成31年電気学会全国大会

Presentation date： 2019.03
年間電力需要の不確実性に対する配電損失最小化運用計画のロバスト性評価手法

阿美咲良, 竹延裕二, 内山慎距, 宮崎輝, 藤本悠, 林泰弘, 山本良太, 安居昂紀

平成31年電気学会全国大会

Presentation date： 2019.03
系統用蓄電池による変動緩和の性能向上を目的としたState-of-Charge Feedback 制御の基礎検討

赤木覚, 芳澤信哉, 伊藤雅一, 藤本悠, 宮崎輝, 林泰弘, 矢野孝, 久田俊哉, 田和克久

平成31年電気学会全国大会

Presentation date： 2019.03
Urban-Scale Distributed Energy Management Systems Evaluation Platform Towards Realization of Smart City

Yu Fujimoto

Workshop on Distributed Energy Management and Data Science for Smart Grid (Mumbai) JST, NSF

Presentation date： 2019.01
変動緩和向け出力事前制御と風力発電出力抑制制御による蓄エネ装置容量削減効果

伊藤雅一, 藤本悠, 光岡正隆, 石井英雄, 林泰弘

平成30年度日本太陽エネルギー学会・日本風力エネルギー学会合同研究発表会

Presentation date： 2018.11
気象学的解析の補助を目的とした深層畳み込みニューラルネットワークに基づく特徴抽出

東山和寿, 藤本悠, 林泰弘

気象学会2018年度秋季大会

Presentation date： 2018.10
Experimental Results of a Wind Farm Scheduling Method Considering State-of-Charge Transition for an Electricity Market with the Compressed Air Energy Storage System

Masakazu Ito, Yu Fujimoto, Masataka Mitsuoka, Hideo Ishii, Aki Kikuchi, Yasuhiro Hayashi

17th Wind Integration Workshop (Stockholm)

Presentation date： 2018.10
Japan’s R&D Project of Ramp Forecasting Technology: A Machine Learning Scheme for Ramp Forecast

Yu Fujimoto, Kazutoshi Higashiyama, Yasuhiro Hayashi

17th Wind Integration Workshop (Stockholm)

Presentation date： 2018.10
Utilization of Urban Scale Distributed Energy Management Systems Evaluation Platform for Realization of Smart City and its Prospect

Yu Fujimoto, Hideo Ishii, Yasuhiro Hayashi [Invited]

SICE2018 特別ワークショップSICEの輪で未来を創れ!

Presentation date： 2018.09
配電系統電圧制御におけるスマートインバータの地域別制御パラメータ決定の影響評価

村上晃平, 芳澤信哉, 藤本悠, 石井英雄, 林泰弘

電気学会平成30年電気学会電力・エネルギー部門大会

Presentation date： 2018.09
圧縮空気エネルギー貯蔵システムと予測を用いた出力事前制御による風力発電出力の変動緩和実証試験の評価

伊藤雅一, 藤本悠, 光岡正隆, 石井英雄, 林泰弘

電気学会平成30年電気学会電力・エネルギー部門大会

Presentation date： 2018.09
PV導入推移の不確定性を考慮したシナリオに基づく電圧調整設備の配置計画作成手法の基礎検討

三上大智, 芳澤信哉, 藤本悠, 林泰弘, 松田源立

電気学会平成30年電気学会電力・エネルギー部門大会

Presentation date： 2018.09
中期先電力需要予測における変数属性の要因分析を目的としたグループ正則化の検討

金子奈々恵, 藤本悠, 林泰弘

電気学会平成30年電気学会電力・エネルギー部門大会

Presentation date： 2018.09
給湯の日需要量予測に基づく家庭用燃料電池の運用計画作成手法

土屋祐太, 藤本悠, 吉田彬, 天野嘉春, 林泰弘

電気学会平成30年電気学会電力・エネルギー部門大会

Presentation date： 2018.09
統計的非線形因果構造に着目した植物工場運用データの解析手法の検討：電力エネルギーコストを踏まえた植物育成の制御に向けて

村上紗彩, 藤本悠, 林泰弘, 渕上英紀, 服部敏朗

農業環境工学関連5学会2018年合同大会

Presentation date： 2018.09
Analysis of Operation Plans of Residential PEFC-CGS: A Perspective of Cost Optimality under Demand Uncertainty

Yuta Tsuchiya, Yu Fujimoto, Akira Yoshida, Yoshiharu Amano, Yasuhiro Hayashi

24th International Conference on Electrical Engineering

Presentation date： 2018.06
Nonlinear Variable Transformation for Construction of Long-term Demand Forecast Models

Nanae Kaneko, Yu Fujimoto, Yasuhiro Hayashi

24th International Conference on Electrical Engineering

Presentation date： 2018.06
Development and Demonstration of Compressed Air Energy Storage System for Power Compensation of Intermittent Renewables

Hiroshi Hasuike, Toshiya Hiura, Mamoru Suzuki, Masakazu Ito, Masataka Mitsuoka, Hideo Ishii, Yu Fujimoto, Yasuhiro Hayashi

Grand Renewable Energy 2018 International Conference and Exhibition

Presentation date： 2018.06
State-of-Charge Target Control for Energy Storage System for Imbalance and Wind Curtailment Reduction in Electricity Market

Masakazu Ito, Yu Fujimoto, Masataka Mitsuoka, Hideo Ishii, Yasuhiro Hayashi

Grand Renewable Energy 2018 International Conference and Exhibition

Presentation date： 2018.06
A Comparative Study of Regional Wind Power Forecasting: Direct Approach and Aggregating Approach

Kazutoshi Higashiyama, Yu Fujimoto, Yasuhiro Hayashi

Grand Renewable Energy 2018 International Conference and Exhibition

Presentation date： 2018.06
Study on District-Level High Peak Demand Shaving by Electric Power Interchange Utilizing Private Line

Kota Tajiri, Yu Fujimoto, Yasuhiro Hayashi

Grand Renewable Energy 2018 International Conference and Exhibition

Presentation date： 2018.06
Basic Study of Long-Term Deployment Planning for Voltage Regulators on Distribution System under Uncertainties in PV Penetration Scenarios

Taichi Mikami, Shinya Yoshizawa, Yoshitatsu Matsuda, Yu Fujimoto, Yasuhiro Hayashi

Grand Renewable Energy 2018 International Conference and Exhibition

Presentation date： 2018.06
Asynchronous ADMM HEMS Aggregation Scheme in Smart Grid

Akira Yoshida, Yu Fujimoto, Yoshiharu Amano, Yasuhiro Hayashi

31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems

Presentation date： 2018.06
機器別消費電力推定結果に基づく短期先需要予測手法の検討

中山優佳, 土屋祐太, 藤本悠, 林泰弘

2018年電子情報通信学会総合大会電子情報通信学会

Presentation date： 2018.03
Temporal Interpolation of Gridded Solar Radiation Data for Evaluating PV Fluctuations

Daigo Hirooka, Noboru Murata, Yu Fujimoto, Yasuhiro Hayashi

12th International Renewable Energy Storage Conference (Dussseldorf)

Presentation date： 2018.03
Analysis of Peak Load Reduction in Multiple Areas Based on Electrical Power Interchange

Kota Tajiri, Yu Fujimoto, Yasuhiro Hayashi

12th International Renewable Energy Storage Conference (Dusseldorf)

Presentation date： 2018.03
Feature Extraction of NWP Data for Wind Power Forecast by Using 3D-Convolutional Neural Network

Kazutoshi Higashiyama, Yu Fujimoto, Yasuhiro Hayashi

12th International Renewable Energy Storage Conference (Dusseldorf)

Presentation date： 2018.03
Expected Wind Speed Estimation Considering Temporal Anisotropy for Generating Synthetic Wind Power Profiles

Kouki Hama, Yu Fujimoto, Yasuhiro Hayashi

12th International Renewable Energy Storage Conference (Dusseldorf)

Presentation date： 2018.03
需要家の電力データに基づくLVRの制御パラメータ決定手法の体系的評価

喜久里浩之, 小林将矢, 小浦直洋, 宮崎輝, 藤本悠, 若尾真治, 林泰弘, 茂木規行, 山下裕輔

平成30年電気学会全国大会電気学会

Presentation date： 2018.03
PV連系系統における電圧調整設備の長期的な配備計画に関する基礎検討

三上大智, 芳澤信哉, 藤本悠, 林泰弘, 松田源立

平成30年電気学会全国大会電気学会

Presentation date： 2018.03
植物工場運用データの統計的非線形因果構造解析アプローチの一検討

村上紗彩, 藤本悠, 林泰弘, 渕上英紀, 服部敏朗

平成30年電気学会全国大会電気学会

Presentation date： 2018.03
インバランス料金制度における供給力不足時間帯の予測に関する一検討

金子奈々恵, 藤本悠

平成30年電気学会全国大会電気学会

Presentation date： 2018.03
家庭用燃料電池における運用コスト最小化を目的としたロバスト運用計画決定手法の一検討

土屋祐太, 藤本悠, 吉田彬, 天野嘉春, 林泰弘

平成30年電気学会全国大会電気学会

Presentation date： 2018.03
地域特性を考慮した機器別住宅エネルギー需要推定に基づく配電系統評価手法

竹延祐二, 藤本悠, 林泰弘, 上林由果, 山口容平, 下田吉之

平成30年電気学会全国大会電気学会

Presentation date： 2018.03
配電系統におけるPVのならし効果を考慮した系統用蓄電池の容量設計に関する基礎検討

赤木覚, 芳澤信哉, 伊藤雅一, 藤本悠, 宮崎輝, 林泰弘, 矢野孝, 久田俊哉, 田和克久

平成30年電気学会全国大会

Presentation date： 2018.03
スパース部分線形加法回帰モデルにおける変数重要度の算出に関する検討

宮澤歩夢, 金子奈々恵, 藤本悠, 林泰弘

日本データベース学会

Presentation date： 2018.03
国勢調査及び生活時間データに基づく小地域単位の住宅エネルギー需要シミュレーション

上林由果, 山口容平, 松岡綾子, 下田吉之, 竹延祐二, 藤本悠, 林泰弘

第34回エネルギーシステム・経済・環境コンファレンスエネルギー・資源学会

Presentation date： 2018.01
集中型電圧制御に基づく大規模配電系統に対するサイバー攻撃シナリオの一検討

青木勇輔, 芳澤信哉, 藤本悠, 小野功, 石井秀明, 小野田崇, 林泰弘

計測自動制御学会システム・情報部門学術講演会2017 計測自動制御学会

Presentation date： 2017.11
Alleviating the Voltage Control Problem in Low-Voltage Systems Using Auction System

Shin-ichi Hanada, Hiroshi Kikusato, Yu Fujimoto, Yasuhiro Hayashi, Daiya Isogawa, Hiroshi Ohashi, Shinya Yoshizawa

16th International Conference of the Japan Economic Policy Association Japan Economic Policy Association

Presentation date： 2017.11
Method for Determining Voltage Control Parameters of Low-Voltage Regulator Using Forecast Interval of Photovoltaic Output

Masaya Kobayashi, Hiroshi Kikusato, Jun, Yoshinaga, Yu, Fujimoto, Nao Kumekawa, Shinji Wakao, Yasuhiro Hayashi, Noriyuki Motegi, Yusuke Yamashita

IEEE PES Innovative Smart Grid Technologies, Europe (Torino) IEEE PES

Presentation date： 2017.09
Feature Extraction of Numerical Weather Prediction Results Toward Reliable Wind Power Prediction

Kazutoshi Higashiyama, Yu Fujimoto, Yasuhiro Hayashi

IEEE PES Innovative Smart Grid Technologies, Europe (Torino) IEEE PES

Presentation date： 2017.09
Energy Disaggregation Based on Semi-supervised Matrix Factorization using Feedback Information from Customers

Ayumu Miyasawa, Masako Matsumoto, Yu Fujimoto, Yasuhiro Hayashi

IEEE PES Innovative Smart Grid Technologies, Europe (Torino) IEEE PES

Presentation date： 2017.09
生産物の品質と電力エネルギーコストを考慮した植物工場における生育環境制御手法の検討

村上紗彩, 藤本悠, 林泰弘, 渕上英紀, 服部敏朗

電気学会平成29年電気学会電子・情報・システム部門大会

Presentation date： 2017.09
時空間クリギングに基づく擬似風力発電プロファイル生成の検討

濱洸貴, 藤本悠, 林泰弘

電気学会平成29年電気学会電力・エネルギー部門大会

Presentation date： 2017.09
風力発電予測高度化に向けた気象場予測データの次元縮約の検討

東山和寿, 藤本悠, 林泰弘

電気学会平成29年電気学会電力・エネルギー部門大会

Presentation date： 2017.09
説明変数の時別選択に基づくインバランス料金単価予測手法の検討

金子奈々恵, 藤本悠

電気学会平成 29 年電気学会電力・エネルギー部門大会

Presentation date： 2017.09
家庭用燃料電池を対象とした期待運用コスト最小化手法の一検討

土屋祐太, 藤本悠, 吉田彬, 天野嘉春, 林泰弘

電気学会平成29年電気学会電力・エネルギー部門大会

Presentation date： 2017.09
契約電力削減を目的とした電力融通に基づく複数エリアのピークカット手法の検討

田尻航太, 藤本悠, 林泰弘, 佐野豊, 栄千治

電気学会平成29年電気学会電力・エネルギー部門大会

Presentation date： 2017.09
風力発電出力と現在の発電出力を考慮した出力事前制御による変動緩和効果

伊藤雅一, 藤本悠, 光岡正隆, 石井英雄, 林泰弘

電気学会平成29年電気学会電力・エネルギー部門大会

Presentation date： 2017.09
Study of Energy Cost Minimization in Plant Factories Taking Weather Factors into Consideration by using Additive Bayesian Network

Saya Murakami, Yu Fujimoto, Yasuhiro Hayashi, Hideki Fuchikami, Toshirou Hattori

International Conference on Electrical Engineering 2017

Presentation date： 2017.07
Stochastic Model Predictive Control of Residential Fuel Cell Cogeneration Unit with Periodic Forecast Update for Distributed Architecture

Akira Yoshida, Jun Yoshikawa, Yu Fujimoto, Yoshiharu Amano, Yasuhiro Hayashi

30th International Conference on Efficiency, Cost Optimization, Simulation and Environmental Impact of Energy Systems

Presentation date： 2017.07
An Evaluation of Control Method of Energy Storage Systems for Scheduled Generation by Wind Power Systems for Market under a Grid Code Defining Maximum Change of Wind Power Output in a Time Interval

Masakazu Ito, Yu Fujimoto, Masataka Mitsuoka, Hideo Ishii, Yasuhiro Hayashi

World Wind Energy Conference 2017 (Malmö, Sweden)

Presentation date： 2017.06
Towards Building Energy Disaggregation Based on Power Consumption Patterns with Low Temporal Resolution

Yu Fujimoto

2017 JST-NSF-RCN Joint Workshop on Distributed Energy Management Systems (Akihabara, Tokyo, Japan)

Presentation date： 2017.06
Development of Prediction-based Operation Planning Method for Domestic Air-Conditioner with Adaptive Learning of Installation Environment

Ryoichi Kuroha, Yu Fujimoto, Wataru Hirohashi, Yoshiharu Amano, Shin-ichi Tanabe, Yasuhiro Hayashi

IEEE PES Innovative Smart Grid Technologies 2017 (Washington D.C.) IEEE PES

Presentation date： 2017.04
Forecast of Infrequent Wind Power Ramps Based on Data Sampling Strategy

Yuka Takahashi, Yu Fujimoto, Yasuhiro Hayashi

11th International Renewable Energy Storage Conference

Presentation date： 2017.03
時間枠に対する出力変動幅が指定された連系要件における風力発電出力抑制制御による蓄エネルギー装置の所要容量削減効果

Presentation date： 2017.03
植物工場におけるエネルギーコスト最小化を目的とした機器の運用計画手法の検討

Presentation date： 2017.03
複数エリアのピーク電力最小化を目的とした電力融通における動的な蓄電池パラメータの設定

Presentation date： 2017.03
PV 大量導入による電圧無効電力制御への影響評価

Presentation date： 2017.03
PV 発電量予測の信頼区間推定を利用した LVR の LDC 制御パラメータ決定手法

Presentation date： 2017.03
電圧変動値の確率密度関数近似に基づくロバストなSVR 整定値決定手法

村上晃平, 芳澤信哉, 藤本悠, 林泰弘, 佐々木俊介, 石川博之, 梶川拓也

平成29年電気学会全国大会

Presentation date： 2017.03
予測に基づく家庭用空調機器の運転計画手法における適切な学習データ量の検討

Presentation date： 2017.03
配電系統シミュレーションによるEV充電オークション制度の評価

Presentation date： 2017.03
医療機器利用家庭を対象とした電力エネルギーの観点から見た被災時の生活継続性評価手法の提案

Presentation date： 2017.03
風力発電出力予測誤差と蓄エネルギー装置の充電レベルを考慮した翌日発電計画値作成手法

Presentation date： 2017.03
エリア風力発電量予測における深層学習の応用の検討

Presentation date： 2017.03
系統用蓄電池による変動緩和と余剰吸収の多目的制御に関する基礎検討

Presentation date： 2017.03
インバランス料金単価予測手法の検討

Presentation date： 2017.03
EMS 技術評価のための都市規模解析モデルの構築-その3 座標情報を考慮した大規模配電系統構成の決定-

Presentation date： 2017.03
EMS 技術評価のための都市規模解析モデルの構築-その2 都市構成を考慮した需要家情報と配電線情報の特徴量解析-

Presentation date： 2017.03
EMS技術評価のための都市規模解析モデルの構築-その１電力負荷および需要家契約電力に基づく需要家の想定-

Presentation date： 2017.03
擬似風力発電プロファイル生成のための風速推定における距離尺度学習の検討

Presentation date： 2017.03
風力発電ランプ現象を予測する-不均衡データに基づく機械学習の観点から-

Presentation date： 2017.03
風力発電のランプ予測技術と出力制御技術

Presentation date： 2017.03
集中型電圧制御方式に基づく配電系統に対するサイバー攻撃シナリオの自動探索プラットフォームの構築

青木勇輔, 小野川瑞季, 芳澤信哉, 藤本悠, 小野功, 石井秀明, 小野田崇, 林泰弘

計測自動制御学会システム・情報部門学術講演会2016

Presentation date： 2016.12
集中型電圧制御に基づく配電系統のデータ改ざん攻撃に対するロバスト化手法

小野川瑞季, 芳澤信哉, 藤本悠, 石井秀明, 小野功, 小野田崇, 林泰弘

計測自動制御学会システム・情報部門学術講演会2016

Presentation date： 2016.12
BEMS支援を目的とした熱感知センサに基づく人物追跡に関する検討

宮澤歩夢, 藤本悠, 林泰弘

計測自動制御学会システム・情報部門学術講演会2016

Presentation date： 2016.12
不均衡データに基づく風力発電ランプ予測におけるオーバーサンプリング法の検討

高橋由佳, 藤本悠, 林泰弘

第19回情報論的学習理論ワークショップ

Presentation date： 2016.11
Coordinated Voltage Control of Load Tap Changers in Distribution Networks with Photovoltaic System

Hiroshi Kikusato, Masaya Kobayashi, Jun Yoshinaga, Yu Fujimoto, Yasuhiro Hayashi, Shinichi Kusagawa, Noriyuki Motegi

IEEE PES Innovative Smart Grid Technologies, Europe

Presentation date： 2016.10
LVRを用いた協調電圧制御の評価

電気学会平成28年電気学会電力・エネルギー部門大会

Presentation date： 2016.09
センサ開閉器の計測情報を用いたSVR整定値決定手法の取得周期における電圧制御性能の評価

電気学会平成28年電気学会電力・エネルギー部門大会

Presentation date： 2016.09
風力発電の変動緩和における予測値の粒度が蓄エネルギー装置の出力事前制御に与える影響の基礎検討

Presentation date： 2016.09
家庭内エネルギー機器の運用計画に基づく最適電気料金プラン選択手法の検討

Presentation date： 2016.09
PV 設備導入家庭を対象とした機器別消費電力推定に関する検討

Presentation date： 2016.09
LVRの制御パラメータの更新間隔が電圧制御効果に与える影響の評価

Presentation date： 2016.09
A Capacity Evaluation of a Battery Energy Storage System for Multipurpose Utilization

2016 International Conference on Electrical Engineering

Presentation date： 2016.07
Methods for Determining Line Voltage Drop Compensator Control Parameters of Low Voltage Regulator Considering Temporal and Spatial Resolution of Power Forecast Profile

2016 International Conference on Electrical Engineering

Presentation date： 2016.07
Advanced Decentralized Voltage Control Method of Voltage Regulators Based on Measurements in Distribution System with PVs

2016 International Conference on Electrical Engineering

Presentation date： 2016.07
Control Methods for an Energy Storage System when Wind Power Output Deviate Grid Code

2016 International Conference on Electrical Engineering

Presentation date： 2016.07
Basic Study for PV Output Estimation Utilizing Meteorological Satellite Solar Radiation Data and SCADA Data

2016 International Conference on Electrical Engineering

Presentation date： 2016.07
Energy Disaggregation Based on Semi-Binary NMF

International Conference on Machine Learning and Data Mining

Presentation date： 2016.07
Optimal Scheduling for Residential PEM Fuel Cell Cogeneration System under Uncertainty of PV Output and Energy Demand Using MISOCP Approach

29th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems

Presentation date： 2016.06
An Optimal Predictive Control of 0.75kW PEM Fuel Cell Cogeneration with Home Appliances for Efficient PV Utilization

14th International Conference on Fuel Cell Science POWER16

Presentation date： 2016.06
Distributed Energy Management Scheme for Comprehensive Utilization of Residential Photovoltaic Power Generation

2016 JST-NSF-DFG-RCNWorkshop on Distributed Energy Management Systems

Presentation date： 2016.05
PV 連系配電系統における計測電力値に基づくSVR 整定値決定手法の基礎検討

Presentation date： 2016.03
発電要素が存在する状況下での行列分解による機器別消費電力推定に関する検討

Presentation date： 2016.03
Semi-Binary NMF に基づく機器別消費電力推定

Presentation date： 2016.03
多用途活用を想定した系統設置蓄電池の容量設計に関する基礎検討

Presentation date： 2016.03
運用コスト最小化を目的とした家庭用空調機器の適応型運用計画手法の開発

Presentation date： 2016.03
電力波形の時間分解能を考慮した LVR のLDC 制御パラメータの決定手法

Presentation date： 2016.03
需要予測の不確実性を考慮した電力供給計画手法の検討

Presentation date： 2016.03
エリアピーク電力最小化を目的とした電力融通実施日選択手法の検討

Presentation date： 2016.03
蓄エネルギー装置の出力事前制御による風力発電出力変動緩和のための所要容量削減効果に関する基礎検討

Presentation date： 2016.03
Prediction of Wind Power Output for Alerting Ramp Events

10th International Renewable Energy Storage Conference

Presentation date： 2016.03
Reproducing Statistical Property of Short-Term Fluctuation in Wind Power Profiles

10th International Renewable Energy Storage Conference

Presentation date： 2016.03
ランダムフォレストに基づく風力発電のランプアラート手法の検討

Presentation date： 2015.11
Weighted Semi-Binary NMF に基づく機器別消費電力推定

Presentation date： 2015.11
Power and Capacity Requirement for an Energy Storage from Grid Codes

IEEE PES Asia-Pacific Power and Energy Engineering Conference 2015

Presentation date： 2015.11
非負値行列分解の応用に基づく機器別消費電力推定の精度評価

Presentation date： 2015.08
ピーク電力最小化を目的とした蓄電池併用型エリア間電力融通手法の検討

Presentation date： 2015.08
ランプ検知を目的としたエリア風力発電量予測に関する検討

Presentation date： 2015.08
HEMS における需要家機器使用傾向の学習精度に関する検証

Presentation date： 2015.08
電力予測精度とHEMS/Grid EMS 協調効果の関係の評価

Presentation date： 2015.08
DR における電力需要削減効果の経時変化に関する一考察

Presentation date： 2015.08
連系要件の違いによる蓄エネルギー装置の所用出力・時間容量の検討

Presentation date： 2015.08
高圧配電系統の電圧制御を考慮したLVR の設置に関する基礎検討

Presentation date： 2015.08
風速観測データベースに基づく擬似風力発電プロファイル生成手法の検討

Presentation date： 2015.08
Basic Study of the Capacity Determination of Grid-Connected Battery Energy Storage System for Load Leveling and Voltage Control

2015 International Conference on Electrical Engineering

Presentation date： 2015.07
Evaluation of Coordinated Energy Management System for Grid and Home in Distribution System with PVs

2015 International Conference on Electrical Engineering

Presentation date： 2015.07
Evaluation of Demand Response Based on the Non-Linear Regression Method

2015 International Conference on Electrical Engineering

Presentation date： 2015.07
Basic Study on Deployment of Low-Voltage Regulator Considering Existing Voltage Control in High- Voltage Distribution Systems

2015 International Conference on Electrical Engineering

Presentation date： 2015.07
Spatial Prediction for Generating SyntheticWind Power Profiles Based on Kriging Approach

2015 International Conference on Electrical Engineering

Presentation date： 2015.07
Study of Multi-Area Energy Management Method for Peak Power Minimization

2015 International Conference on Electrical Engineering

Presentation date： 2015.07
Interval Forecasting for Wind Power Generation Based on Random Forests

2015 International Conference on Electrical Engineering

Presentation date： 2015.07
A Personalized Energy Management for Advanced Heating Ventilating and Air Conditioning System

2015 International Conference on Electrical Engineering

Presentation date： 2015.07
Energy Disaggregation Based on Shift-invariant Semi-binary Matrix Factorization

2015 International Conference on Electrical Engineering

Presentation date： 2015.07
Information Exchange Between HEMS and GEMS for Effective EV Charge / Discharge Planning

2015 International Conference on Electrical Engineering

Presentation date： 2015.07
Improvement of Prediction Interval Estimation Algorithm with Just-In-Time Modeling for PV System Operation

42nd IEEE Photovoltaic Specialists Conference

Presentation date： 2015.06
Economic Evaluations of Residential Energy Systems Based on Prediction-Operational Planning- Control Method under Time-of-Use Prices

28th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems

Presentation date： 2015.06
Advantage of a Home Energy Management System for PV Utilization Connected to Grid

28th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems

Presentation date： 2015.06
Distribution Automation System for Service Restoration Involving Simultaneous Disconnection and Reconnection of Distributed Generators

PowerTech Eindhoven 2015

Presentation date： 2015.06
Method for Determining LDC Parameters of OLTC and Multiple SVRs in Distribution System by Using Database

International Youth Conference on Energy

Presentation date： 2015.05
Multiple Scenario Forecast for Residential Energy Demands

2015 JST-NSF-DFG-RCN Workshop on Distributed Energy Management System

Presentation date： 2015.04
機器別消費電力量推定への半バイナリ行列分解手法の応用

2015年電子情報通信学会総合大会

Presentation date： 2015.03
非線形回帰モデルに基づく価格誘導型デマンドレスポンスの効果の評価

第7回デ-タ工学と情報マネジメントに関するフォ-ラム

Presentation date： 2015.03
ランプ対策を目的としたウィンドファ-ム発電量予測に関する検討

第7回デ-タ工学と情報マネジメントに関するフォ-ラム

Presentation date： 2015.03
ピーク電力最小化を目的とした複数エリアエネルギーマネジメント手法の検討

Presentation date： 2015.03
負荷平準化と電圧制御を目的とした系統用蓄電池システムの容量決定に関する基礎検討

Presentation date： 2015.03
Robust Operation Planning Method for Integrated SOFCs Under Uncertainty of Demand Forecast

6th International Renewable Energy Congress

Presentation date： 2015.03
The Basic Study for Development of a Method for Dtermining the LDC Parameters of LRT and SVR Using PV Output Forecasting

The IEEE PES Conference on Innovative Smart Grid Technologies

Presentation date： 2015.02
予測・運用計画・制御手法に基づく家庭用エネルギ-システムの時間帯別料金を考慮した経済性評価

エネルギ-・資源学会第 31 回エネルギ-システム・経済・環境コンファレンス

Presentation date： 2015.01
Method for Determining Line Drop Compensator Control Parameters of Low-Voltage Regulator Using Random Forest

The 3rd International Conference on Power Science and Engineering

Presentation date： 2014.12
Maximum PV Penetration Capacity Evaluation of a Novel Method for Determining LDC Control Parameters of Step Voltage Regulators

The 3rd International Conference on Power Science and Engineering

Presentation date： 2014.12
Fluctuation Range Prediction of PV Output by Using Just-In-Time Modeling

The 6th World Conference on Photovoltaic Energy Conversion

Presentation date： 2014.11
Application of PV Output Prediction Interval to Battery Operation of Green Base Transceiver Station

The 6th World Conference on Photovoltaic Energy Conversion

Presentation date： 2014.11
HEMSによる電圧制約を考慮したEV充放電計画の決定と貢献の評価

計測自動制御学会システム・情報部門学術講演会2014

Presentation date： 2014.11
高次元説明変数に基づく風力発電ランプ予測に関する基礎検討

第17回情報論的学習理論ワークショップ

Presentation date： 2014.11
A Basic Study of Distribution Automation for Service Restoration in a Distribution System with Distributed Generators

The 6th International Conference on Integration of Renewable and Distributed Energy Resources

Presentation date： 2014.11
On Detection of Cyber Attacks Against Voltage Control in Distribution Power Grids

IEEE International Conference on Smart Grid Communications (SmartGridComm'14)

Presentation date： 2014.11
Method for Instantly Determining Line Drop Compensator Parameters of Low-Voltage Regulator Using Multiple Classifiers

IEEE ISGT PES Innovative Smart Grid Technologies European 2014 Conference

Presentation date： 2014.10
太陽光発電出力予測のためのJust-In-Time Modelingを用いた日射量予測信頼区間の推定方法

電気学会平成26年電気学会電力技術・電力系統技術合同研究会

Presentation date： 2014.09
判別器を用いたLVRのLDC制御パラメータの高速決定手法

電気学会平成26年電気学会電力技術・電力系統技術合同研究会

Presentation date： 2014.09
予測・運用・制御の一貫したGEMSの電圧制御とHEMSの電熱運用手法との協調EMS手法の評価

電気学会平成26年電気学会電力技術・電力系統技術合同研究会

Presentation date： 2014.09
エアコン・窓システムを対象とした学習型空調自動制御の提案

電気学会平成26年電気学会電力技術・電力系統技術合同研究会

Presentation date： 2014.09
需要の不確実性を考慮したSOFC群統合運用計画の検討

電気学会平成26年電気学会電力技術・電力系統技術合同研究会

Presentation date： 2014.09
Pseudo-Data Reflecting Statistical Characteristics of Residential Load for Large-Scale Electrical Grid Analysis with Large Amount of PV

The 29th European PV Solar Energy Conference and Exhibition

Presentation date： 2014.09
PV Output Prediction under Various Conditions of Time and Spatial Resolutions by Just-In-Time Model- ing

The 29th European PV Solar Energy Conference and Exhibition

Presentation date： 2014.09
Random Forestsを用いたLVRのLDC制御パラメータ決定手法の改良及び実験による検証

電気学会平成26年電力・エネルギー部門大会

Presentation date： 2014.09
PV連系配電系統におけるGEMSの電圧制御とHEMSの宅内負荷機器制御との協調EMSの基礎検討

電気学会平成26年電力・エネルギー部門大会

Presentation date： 2014.09
大型負荷装置と太陽光発電システム保有施設における蓄電池の導入による効果の評価

電気学会平成26年電力・エネルギー部門大会

Presentation date： 2014.09
DR対応型HEMS導入下でのLVRによる低圧系統電圧制御に関する検討

電気学会平成26年電力・エネルギー部門大会

Presentation date： 2014.09
需給バランスを考慮したHP給湯機運用の低圧系統電圧への影響評価

電気学会平成26年電力・エネルギー部門大会

Presentation date： 2014.09
配電系統電圧制御を考慮したモデル予測型HEMSによるPHV充放電計画の評価

電気学会平成26年電力・エネルギー部門大会

Presentation date： 2014.09
SOFC群の統合制御運転手法による一次エネルギー消費量削減効果の評価

電気学会平成26年電力・エネルギー部門大会

Presentation date： 2014.09
ウィンドファーム発電量の擬似系列生成に関する検討

電気学会平成26年電力・エネルギー部門大会

Presentation date： 2014.09
太陽光・風力発電の大量導入時におけるCGS群と火力発電機の協調による系統周波数制御効果の基礎検討

電気学会平成26年電力・エネルギー部門大会

Presentation date： 2014.09
行列分解に基づく機器消費電力分解手法における時間分解能の影響評価

電気学会平成26年電力・エネルギー部門大会

Presentation date： 2014.09
快適性を考慮した家庭用エネルギーシステムの運用方策の検討

日本機械学会2014年度年次大会

Presentation date： 2014.09
Estimation Method of Prediction Interval of Forecasted Solar Irradiance with Just-In-Time Modeling

Grand Renewable Energy 2014 Internal Conference and Exhibition

Presentation date： 2014.07
A Method of Home Energy Management Based on Bayesian Network

The 12th International Conference on Probabilistic Methods Applied to Power Systems

Presentation date： 2014.07
K-Nearest Neighbor Approach for Forecasting Energy Demands Based on Metric Learning

2014 International Work-Conference on Time Series

Presentation date： 2014.06
Interval Forecasting of Photovoltaic Generation Based on Quantile Regression Forests

2014 International Work-Conference on Time Series

Presentation date： 2014.06
A Novel Grid Energy Management System in Distribution System with PVs

2014 International Conference on Electrical Engineering

Presentation date： 2014.06
Home Energy Management Based on Bayesian Network considering Priority of Home Appliances

2014 International Conference on Electrical Engineering

Presentation date： 2014.06
年/週/日単位の変動特性に基づいた住宅負荷のクラスタ解析

平成26年電気学会全国大会

Presentation date： 2014.03
SOFC設置型集合住宅における燃料電池群最適運転制御手法

平成26年電気学会全国大会

Presentation date： 2014.03
ベイジアンネットワークを適用した機器使用傾向学習型HEMSの開発

平成26年電気学会全国大会

Presentation date： 2014.03
PV出力予測を用いたLVRのLDC制御パラメータ導出に関する検討

平成26年電気学会全国大会

Presentation date： 2014.03
ARMA Bootstrap法を用いた風速時系列情報に基づく風力発電量の確率的変動成分表現

平成26年電気学会全国大会

Presentation date： 2014.03
分位点回帰モデルの逐次的重み付けに基づく太陽光発電出力予測区間の推定

平成26年電気学会全国大会

Presentation date： 2014.03
ユーザ評価データを用いたアイテム選好度の推定

第16回情報論的学習理論と機械学習研究会

Presentation date： 2014.03
配電系統電圧制御におけるサイバー攻撃検知に関する考察

計測自動制御学会第1回制御部門マルチシンポジウム

Presentation date： 2014.03
Method for Determining Line Drop Compensator Parameters of Low Voltage Regulator Using Support Vector Machine

IEEE PES 5th International Smart Grid Technologies Conference

Presentation date： 2014.02
Development of Technology for Collaborative Energy Management System and Foundation for Versatile Demonstrative Research and Its Evaluation

2014 Joint JST-NSF-DFG Workshop Distributed Energy Management Systems

Presentation date： 2014.01
ARMA Bootstrapを利用した擬似太陽光発電量データの生成

電気学会新エネルギー・環境メタボリズム社会・環境システム合同研究会

Presentation date： 2013.11
GEMSとHEMSの統一モデルにおける協調制御の基礎検討

計測自動制御学会システム・情報部門学術講演会 2013

Presentation date： 2013.11
判別器を用いたLVRにおけるLDC制御パラメタの高速導出手法

計測自動制御学会システム・情報部門学術講演会 2013

Presentation date： 2013.11
機器個別消費電力の把握を目的とした半教師付きNMFの応用

第16回情報論的学習理論ワークショップ

Presentation date： 2013.11
Photovoltaic Output Prediction Based on a Collection of Quantile Regression Models

The 23rd International Photovoltaic Science and Engineering Conference

Presentation date： 2013.10
住宅用FC のインバータ空き容量を用いた無効電力制御における電圧不平衡率と無効電力出力量の評価

平成25 年電気学会電力技術・電力系統技術合同研究会

Presentation date： 2013.09
需要家の行動パターンを考慮した住宅用PV システムのためのEV・HP の協調制御手法の提案と定量的評価

平成25 年電気学会電力技術・電力系統技術合同研究会

Presentation date： 2013.09
集合住宅における需要の多様性を考慮した燃料電池導入台数に関する基礎検討

平成25 年電気学会電力技術・電力系統技術合同研究会

Presentation date： 2013.09
LVR におけるSVM を用いたLDC制御パラメータの決定手法

平成25 年電気学会電力技術・電力系統技術合同研究会

Presentation date： 2013.09
燃料電池設置型集合住宅における需要の多様性を考慮した最適運用計画の評価

電気学会平成25年電力・エネルギー部門大会

Presentation date： 2013.08
住宅用FCのインバータ空き容量を用いた無効電力制御による電圧上昇と電圧不平衡率の改善効果の評価

電気学会平成25年電力・エネルギー部門大会

Presentation date： 2013.08
エネルギー機器の電力消費パターンに対するHEMSのAuto D 制御の季節別評価

電気学会平成25年電力・エネルギー部門大会

Presentation date： 2013.08
混合分布モデルに基づく家電消費電力量の非侵入型モニタリング

電気学会平成25年電力・エネルギー部門大会

Presentation date： 2013.08
分位点回帰を利用した太陽光発電出力予測値のリスク解析

電気学会平成25年電力・エネルギー部門大会

Presentation date： 2013.08
日中負荷シフトが配電系統の電圧制御機器のタップ制御に与える影響の評価

電気学会平成25年電力・エネルギー部門大会

Presentation date： 2013.08
住宅用PV システムのためのEV・HP の協調制御手法の提案と定量的評価

電気学会平成25年電力・エネルギー部門大会

Presentation date： 2013.08
Evaluation of a Cooperative Control Method for Electric Vehicles and Heat Pumps in Residential Photovoltaic Power Systems

2013 International Conference on Electrical Engineering

Presentation date： 2013.07
Evaluation of Improvement Effect of Voltage Quality by Reactive Power Control with Available Capacity of Residential FC Invertor

2013 International Conference on Electrical Engineering

Presentation date： 2013.07
デマンドレスポンスに対応したHEMSのリアルタイム制御アルゴリズムの開発

平成25年電気学会全国大会

Presentation date： 2013.03
基幹系統構成が高調波電圧観測に及ぼす影響

平成25年電気学会全国大会

Presentation date： 2013.03
EVの大量導入による住宅用PV連系配電系統の出力抑制量削減効果の基礎評価

平成25年電気学会全国大会

Presentation date： 2013.03
γ-divergenceを利用したサクラ攻撃に頑健な推薦システムの提案

2013年電子情報通信学会総合大会

Presentation date： 2013.03
基底関数展開法に基づく非線形回帰モデルを用いた太陽光発電出力の時系列予測

平成25年電気学会全国大会

Presentation date： 2013.03
行列分解に基づく電力消費量の家電機器成分抽出に関する一検討

平成25年電気学会全国大会

Presentation date： 2013.03
Verification of Loss Reduction Effect on Loss Minimum Configuration of Distribution System by Zero-Suppressed Binary Decision Diagram

2013 IEEE PES Innovative Smart Grid Technologies

Presentation date： 2013.02
Determination of Optimal Operation Plans of Fuel Cell System in Residential House with PV System

2012 IEEE International Power and Energy Conference

Presentation date： 2012.12
Determination Method of Optimal Planning and Operation for Residential PV System and Storage Battery Based on Weather Forecast

2012 IEEE International Power and Energy Conference

Presentation date： 2012.12
タグクラウドによる評判情報の可視化

第97回人工知能学会知識ベースシステム研究会

Presentation date： 2012.11
Pattern Sequence-based Energy Demand Forecast Using Photovoltaic Energy Records

International Conference on Renewable Energy Research and Applications 2012

Presentation date： 2012.11
実測負荷データを用いた低圧配電系統高速電圧計算手法の計算精度と電圧降下幅の評価

電気学会平成24年電力・エネルギー部門大会

Presentation date： 2012.09
一次エネルギー消費量最小化を目的としたPV・FC併設住宅におけるFC運転パターン決定手法の基礎検討

電気学会平成24年電力・エネルギー部門大会

Presentation date： 2012.09
集合住宅における住戸需要のバリエーションを考慮した燃料電池導入効果の検証

電気学会平成24年電力・エネルギー部門大会

Presentation date： 2012.09
HEMSによるEV・HP・PVの協調制御手法の基礎検討

電気学会平成24年電力・エネルギー部門大会

Presentation date： 2012.09
IT開閉器制御による集中型電圧制御方式の基礎検討

電気学会平成24年電力・エネルギー部門大会

Presentation date： 2012.09
PV・FC併設住宅インバータの無効電力制御による系統電圧不平衡率の改善効果の評価

電気学会平成24年電力・エネルギー部門大会

Presentation date： 2012.09
送電系統遮断器と配電系統開閉器の協調制御による送配電損失最小化手法を用いたPV導入分布の違いによる損失削減効果の評価

電気学会平成24年電力・エネルギー部門大会

Presentation date： 2012.09
LRTとの協調制御に基づくSVRの最適配置と移設の決定手法の評価

電気学会平成24年電力・エネルギー部門大会

Presentation date： 2012.09
太陽光発電システム連系系統に対応したLRT・SVRと開閉器による協調電圧制御の基礎検討

平成24年度電気学会電力技術・電力系統技術合同研究会

Presentation date： 2012.08
住宅用PVシステム多数台連系時の出力抑制回避を目的とした定置用蓄電池及び電気自動車の運用手法に関する基礎検討

平成24年度電気学会電力技術・電力系統技術合同研究会

Presentation date： 2012.08
実測住宅負荷データを用いた低圧配電系統高速電圧計算手法の計算精度と電圧降下幅の評価

平成24年度電気学会電力技術・電力系統技術合同研究会

Presentation date： 2012.08
太陽光発電の導入分布の不確実性に対応したSVRの最適な配置と移設の決定手法の評価

平成24年度電気学会電力技術・電力系統技術合同研究会

Presentation date： 2012.08
Extended Independent Model Based on Modified Product Rule from the Copula Viewpoint

Copulae in Mathematical and Quantitative Finance

Presentation date： 2012.07
Evaluation of CO2 Emission and Primary Energy Consumption Considering Variation in Demand for Collective Housing with Fuel Cells

International Conference on Electrical Engineering 2012

Presentation date： 2012.07
ユーザの重視する不満意見と好評意見を考慮した商品推薦システム

第4回データ工学と情報マネジメントに関するフォーラム

Presentation date： 2012.03
タグクラウドを用いた評判情報可視化システム

第4回データ工学と情報マネジメントに関するフォーラム

Presentation date： 2012.03
ユーザの食事履歴画像を用いた料理記事推薦システム

第4回データ工学と情報マネジメントに関するフォーラム

Presentation date： 2012.03
利用者と書き手の類似性を考慮したブログ上の評判分析

第4回データ工学と情報マネジメントに関するフォーラム

Presentation date： 2012.03
ユーザーが受信メールから抱く感情に合わせた音楽推薦システム

第4回データ工学と情報マネジメントに関するフォーラム

Presentation date： 2012.03
Extended Independent Model Based on Modified Product Rule: Comparison of FIML and TSML Estimation Approaches

International Workshop on Anomalous Statistics, Generalized Entropies, and Information Geometry

Presentation date： 2012.03
Nonnegative Matrix Factorization via Generalized Product Rule and its Application for Classification

The 10th International Conference on Latent Variable Analysis and Signal Separation

Presentation date： 2012.03
Nonlinear Transformation of Tensor Factorization for Collaborative Filtering

The 21th Annual Conference of the Japanese Neural Network Society

Presentation date： 2011.12
一般化乗算に基づくNMFの拡張と判別問題への応用

第14回情報論的学習理論ワークショップ

Presentation date： 2011.11
Bregman divergenceに基づく統計モデルの推定と拡張

第6回統計的機械学習セミナー

Presentation date： 2011.11
推薦システムにおける一般化線形モデルの応用 -主効果モデルによる評価得点推定-

第13回情報論的学習理論ワークショップ

Presentation date： 2010.11
A Generalization of Independence in Naive Bayes Model

The 11th International Conference on Intelligent Data Engineering and Automated Learning

Presentation date： 2010.09
Recommendation of Little Known Good Travel Destinations using Word-of-mouth Information on the Web

The 2010 International Conference on Active Media Technology

Presentation date： 2010.08
An Estimation Method for Bradley-Terry and its Related Models based on the Bregman Divergence

The Learning Workshop 2010

Presentation date： 2010.04
独立性の一般化に基づく統計モデルの拡張

第12回情報論的学習理論ワークショップ

Presentation date： 2009.11
Item-User Preference Mapping with Mixture Models -Data Visualization for Item Preference-

International Conference on Knowledge Discovery and Information Retrieval

Presentation date： 2009.10
An Extension of EM Algorithm based on Bregman Divergence

Mathematical Aspects of Generalized Entropies and their Applications (RIMS Workshop)

Presentation date： 2009.07
Item Preference Parameters from Grouped Ranking Observations

The 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining

Presentation date： 2009.04
グループ化ランキングモデル: Plackett-Luceモデルの一般化とその応用

第11回情報論的学習理論ワークショップ

Presentation date： 2008.10
A Generalized Product Rule and Weak Independence based on Bregman Divergence

The 12th World Multiconference on Systemics and Informatics

Presentation date： 2008.07
Bregman情報量に基づく変数間の独立性の一般化

電子情報通信学会 2008年総合大会

Presentation date： 2008.03
GESによる補正を行った情報量に基づくパラメタの評価

第6回情報科学技術フォーラム

Presentation date： 2007.09
Robust Estimation for Mixture of Probability Tables based on β-likelihood

The 6th SIAM International Conference on Data Mining

Presentation date： 2006.04
β尤度に基づく混合した確率表の推定

人工知能学会人工知能基本問題研究会

Presentation date： 2005.08
情報源符号化を用いた作曲家の特徴抽出

電子情報通信学会2005年総合大会

Presentation date： 2005.03
ベイジアンネットを用いたアドリブ演奏生成系

電子情報通信学会

Presentation date： 2004.10
ベイジアンネットによる即興音楽生成システム -少ない曲例からのモデル推定-

FIT2004 第3回情報科学技術フォーラム

Presentation date： 2004.09
グラフィカルモデルを用いた音楽生成系の構造表現

2003年ベイジアンネットセミナー

Presentation date： 2003.11

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Syllabus

Advanced Electrical Energy Systems

Graduate School of Advanced Science and Engineering

2022 fall semester