Updated on 2022/05/19

写真a

 
IINO, Yutaka
 
Affiliation
Research Council (Research Organization), Advanced Collaborative Research Organization for SmartSociety
Job title
Researcher(Associate Professor)
Profile
1984.3 早稲田大学大学院 理工学研究科 電気工学科専攻 修士課程 修了
1984.4~2018.3 株式会社東芝にて、エネルギー管理技術、省エネ技術などの研究開発に従事
2015.3 東京工業大学大学院 理工学研究科 機械制御システム専攻 博士課程 修了 博士(工学)
2018.4~ 現職(早稲田大学)にてスマート社会の要素技術(電力、交通、情報)等の研究に従事
所属学会:IEEE,電気学会,エネルギー資源学会,計測自動制御学会(フェロー)
技術士(電気電子部門),エネルギー管理士

Concurrent Post

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

Degree

  • 東京工業大学   博士(工学)

Research Experience

  • 2018.04
    -
    Now

    WASEDA University Advanced Collaborative Research Organization for Smart Society (ACROSS)   Research Institute for Advanced Network Technology (RIANT)   Associate Professor, Researcher

  • 2016.07
    -
    2018.03

    Toshiba Infrastructure Systems and Service Corporation   Buildings Solution Division   Chief Researcher

  • 1984.04
    -
    2016.06

    Toshiba Corporation   RDC, PIC, Smart Community Div.   Chief Researcher

  • 2007.04
    -
    2015.03

    Tokyo Institute of Technology   Ph.D. degree (Engineering)

  • 1982.04
    -
    1984.03

    Waseda University   Electrical Engineering

  • 1978.04
    -
    1982.03

    Waseda University   Electrical Engineering

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Professional Memberships

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    IEEE

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    Japan Society of Energy and Resources

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    THE INSTITUTE OF ELECTRICAL ENGINEERS OF JAPAN

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    THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS

 

Research Areas

  • Control and system engineering   Energy Management System

  • Control and system engineering   System Control Theory

Research Interests

  • Di-centralized and distributed optimization

  • Distributed Energy Resource

  • Modeling

  • Optimization

  • System Control Theory

  • Demand Science

  • Energy Management System

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Papers

  • Voltage Regulation of Distribution System by Demand Side Battery Control Method Considering Coordination with HEMS

    Shogo Fukui, Teru Miyazaki, Yutaka Iino, Wataru Hirohashi, Yasuhiro Hayashi, Naoya Matsumoto, Yu Matsumoto, Shin Inagaki

    IEEJ Transactions on Power and Energy   141 ( 5 ) 336 - 344  2021.05  [Refereed]

    DOI

  • Charging Schedule Optimization Method for Electric Buses with PV Installed at Bus Stations: Sensitivity Analysis of PV Capacity based on Real City Data

    Yuki Tomizawa, Yutaka Iino, Yuto Ihara, Yasuhiro Hayashi, Teru Miyazaki, Ryota Yamamoto

    2020 International Conference on Smart Grids and Energy Systems (SGES)    2020.11  [Refereed]

    DOI

  • Backup generator output control method of off-grid system based on renewable energy in remote island

    Kazuki Nagasawa, Yasuhiro Hayashi, Teru Miyazaki, Tomoaki Shoji, Yutaka Iino, Jun Yoshinaga

    2020 International Conference on Smart Grids and Energy Systems (SGES)    2020.11  [Refereed]

    DOI

  • Evaluation of Mutual Effect between Power and Traffic Aiming Electrified Urban Transportation System Using Integrated Light Rail Transit and Distribution System Model

    Hiroyuki Kosaba, Hiroyasu Kobayashi, Teru Miyazaki, Yutaka Iino, Keiichiro Kondo, Yasuhiro Hayashi, Ryota Yamamoto, Masahiko Hasegawa, Jun Yoshinaga

    IEEJ Transactions on Electronics, Information and Systems   140 ( 8 ) 892 - 904  2020.08  [Refereed]

    DOI

  • Partitioning Method for the Large-scale Operation Planning Problem of a District Heating and Cooling System for Electricity Adjustment

    Kohei Tomita, Yutaka Iino, Yasuhiro Hayashi, Yuto Yamamoto, Kosuke Kobayashi, Atsuhiko Hayakawa

    IEEJ Transactions on Power and Energy   140 ( 2 ) 94 - 103  2020.02  [Refereed]

    Authorship:Corresponding author

    DOI

  • Design of a Traffic Simulator with Real-time Feedback and Signal Optimization and Demonstration

    Hayato DAN, Ryota OKAMOTO, Yasuaki WASA, Takeshi HATANAKA, Masakazu MUKAI, Yutaka IINO

    Transactions of the Society of Instrument and Control Engineers   56 ( 7 ) 379 - 385  2020

    DOI

  • Multiple Scenario-based Model Predictive Control with Decision Time Limit Determination of Scenario Selection

    Yutaka Iino

    2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan    2019.09  [Refereed]

    DOI

  • Coordinated Energy Management Systems for Multi-Energy Negotiated Transaction with Marginal Cost Information and Its Properties from the Viewpoint of Graph Complexity

    Yutaka Iino

    SICE Journal of Control, Measurement, and System Integration   11 ( 6 ) 486 - 494  2018.11  [Refereed]

    DOI

  • Feasibility and Performance Analysis of Model Predictive Signal Control Based on a Micro Traffic Model Including Individual Vehicle Motion

    Ryota OKAMOTO, Yuki TEZUKA, Masakazu MUKAI, Takeshi HATANAKA, Yutaka IINO, Toru NAMERIKAWA

    Transactions of the Society of Instrument and Control Engineers   54 ( 12 ) 849 - 856  2018

    DOI

  • Experimental Services of Energy Management for Energy Users in Business Region on Miyakojima City All-Islands EMS Demonstration Project

    Yutaka Iino, Yoshihiro Ogita, Gaku Shimoda, Masaru Zenhira, Satoru Mikami, Yukio Ikema

    ELECTRICAL ENGINEERING IN JAPAN   200 ( 4 ) 19 - 29  2017.09  [Refereed]

     View Summary

    Smart grid and demand response (DR) had been attracting attention and evaluated in several demonstration projects. Many DR experimental results for residential and large-scale buildings had been evaluated, while evaluation for small size buildings seems to be not enough. In this paper, a new energy service combined EMS method is proposed for small size buildings. Then results of its application to Miyako Island All-Islands EMS Demonstration Project are introduced. The experimental services include not only DRs but also peak cutting recommendations and energy analysis reports. The results show combination of services can realize more effects than individual service. Especially the peak cutting recommendations and energy analysis reports help energy consumers to learn and understand how to save and manage energy usages that lead to effective DR potentials. Also the experimental system developed for energy data measurement and DR management as an island community EMS is intrduced. (C) 2017 Wiley Periodicals, Inc.

    DOI

  • Coordinated Energy Management Systems for Multi-Energy Negotiated Transaction with Marginal Cost Information

    Yutaka Iino

    2017 56TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE)     1224 - 1227  2017  [Refereed]

     View Summary

    Recently the multi-energy network had attracted attentions, which includes electricity, heat and fuel energies. These energies should be traded in market dynamics to maximize total economic benefits. However, energy transmission constraints caused by heat and/or fuel network structure restrict trading with market transaction. So in this paper coordinated EMS based on negotiated transaction mechanism is considered. Then a transaction protocol based on marginal cost of energy accommodation is proposed. Some properties of general multi-energy network of negotiated transaction are also discussed.

    DOI

  • Load controllability evaluation modeling for demand response potential estimation

    Yutaka Iino, Tsutomu Fujikawa, Saori Kaneko, Gaku Shimoda, Kazuto Kataoka, Kazuhiko Ogimoto

    IEEJ Transactions on Power and Energy   137 ( 5 ) 372 - 380  2017  [Refereed]

     View Summary

    Demand response (DR) is a key technology for the smart grid, and to manage and optimize DR of energy consumers, accurate prediction of DR potential in each energy consumers is required. In this paper we focus on building and its facilities as the target of DR, and propose a general physical energy modeling procedure to estimate the DR potentials. First an energy model based on the thermal load model is estimated from restricted basic information of the target building. Then the model parameter, especially performance of HVAC facilities, is adjusted by decomposition of modeling error caused by operation and structure of the building. The modeling procedure is applied to an actual building, and the estimation of DR potential is compared with actual DR experiment.

    DOI J-GLOBAL

  • Experimental services of energy management for energy users in business region on Miyakojima City All-Islands EMS Demonstration Project

    Yutaka Iino, Yoshihiro Ogita, Gaku Shimoda, Masaru Zenhira, Satoru Mikami, Yukio Ikema

    IEEJ Transactions on Power and Energy   136 ( 6 ) 537 - 546  2016  [Refereed]

     View Summary

    Smart Grid and Demand Response had been attracted attentions and evaluated in several demonstration projects. Many demand response experimental results for residential and large scale buildings had been evaluated, while evaluation for small size buildings seems to be not enough. In this paper, a new energy service combined EMS method is proposed for small size buildings. Then results of its application to Miyako Island All-Islands EMS Demonstration Project are introduced. The experimental services include not only demand responses but also peak cutting recommendations and energy analysis reports. The results show combination of services can realize more effects than individual service. Especially the peak cutting recommendations and energy analysis reports help energy consumers to learn and understand how to save and manage energy usages that lead to effective demand response potentials. Also the experimental system developed for energy data measurement and demand response management as an island community EMS is introduced.

    DOI J-GLOBAL

  • Fault Diagnosis Method for Control Loop in Outdoor Air Handling Units

    Techinical Papers of Annual Meeting the Society of Heating,Air-conditioning and Sanitary Engineers of Japan   2016   329 - 332  2016

    DOI CiNii

  • Model Predictive Control for Demand Response Aggregation Management System with response delay time and uncertainty model

    Yutaka Iino, Takeshi Hatanaka, Masayuki Fujita

    2014 Proceedings of the SICE Annual Conference (SICE)     1478 - 1483  2014  [Refereed]

     View Summary

    In the Smart Grid Technology, Demand Response (DR) scheme had attracted attentions as a new effective electricity supply-demand balance control method. The aim of this paper is to formulate DR aggregation management system with multiple electricity energy users as a control and optimization theory framework. Where, the demand response delay dynamics and stochastic uncertainty as behaviors in each energy user are included as the DR aggregation system model, to represent actual DR aggregation service management process in the electricity market mechanism. For the generalized formulation of the problem, the Model Predictive Optimization & Control scheme is introduced, where control performance, economical value with DR incentive, and also operational risk to fail DR target achievement are formulated. Some practical calculation procedure of dispatching DR command to each energy user as the DR aggregator is also shown.

    DOI

  • Physical and JIT Model-Based Hybrid Modeling Approach for Building Thermal Load Prediction

    Yutaka Iino, Masahiko Murai, Dai Murayama, Ichiro Motoyama

    ELECTRICAL ENGINEERING IN JAPAN   185 ( 2 ) 30 - 39  2013.11  [Refereed]

     View Summary

    Energy conservation in building fields is a key issue from an environmental point of view as well as of the industrial, transportation, and residential fields. Half of the total energy consumption in a building is a result of HVAC (heating, ventilation, and air conditioning) systems. In order to conserve energy in an HVAC system, a thermal load prediction model for a building is required. This paper proposes a hybrid modeling approach using a physical and just-in-time (JIT) model for the thermal load predictions for a building. The proposed method has features and benefits such as (1) it is applicable to cases in which past operating data for load prediction model learning are poor; (2) it has a self-checking function, which determines if the data-driven load prediction and the physical- based one are consistent at all times, so that it can determine if something is wrong in the load prediction procedure; (3) it has the ability to adjust the load prediction in real time against a sudden change in the model parameters and environmental conditions. The proposed method is evaluated using real operating data from an existing building, and the improvement in load prediction performance is illustrated. (C) 2013 Wiley Periodicals, Inc. Electr Eng Jpn, 185(2): 30-39, 2013; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/eej.22293

    DOI

  • Strategy Identification of Energy Users in Real Time Electricity Market and Demand Response

    Yutaka Iino, Takeshi Hatanaka, Masayuki Fujita

    2012 PROCEEDINGS OF SICE ANNUAL CONFERENCE (SICE)     2094 - 2097  2012  [Refereed]

     View Summary

    A parameter estimation problem for strategy of energy user is considered. The problem is called strategy identification of energy users. Supposing the real time electricity market and/or demand response, the user behavior data are used to estimate the strategy of energy users. In a case study, estimation of battery capacity owned by the energy user is illustrated and the identifiability condition is considered. The method is useful to manage the electricity market and / or demand response control, predicting the energy user behaviors.

  • Consideration on systematic analysis and evaluation of energy system efficiency

    Yutaka Iino

    SICE Annual Conference 2011 Proceedings    2011.09  [Refereed]

  • Physical and JIT model based hybrid modeling approach for building thermal load prediction

    Yutaka Iino, Masahiko Murai, Dai Murayama, Ichiro Motoyama

    IEEJ Transactions on Electronics, Information and Systems   131 ( 8 ) 1431 - 1438  2011  [Refereed]

     View Summary

    Energy conservation in building fields is one of the key issues in environmental point of view as well as that of industrial, transportation and residential fields. The half of the total energy consumption in a building is occupied by HVAC (Heating, Ventilating and Air Conditioning) systems. In order to realize energy conservation of HVAC system, a thermal load prediction model for building is required. This paper propose a hybrid modeling approach with physical and Just-in-Time (JIT) model for building thermal load prediction. The proposed method has features and benefits such as, (1) it is applicable to the case in which past operation data for load prediction model learning is poor, (2) it has a self checking function, which always supervises if the data driven load prediction and the physical based one are consistent or not, so it can find if something is wrong in load prediction procedure, (3) it has ability to adjust load prediction in real-time against sudden change of model parameters and environmental conditions. The proposed method is evaluated with real operation data of an existing building, and the improvement of load prediction performance is illustrated. © 2011 The Institute of Electrical Engineers of Japan.

    DOI J-GLOBAL

  • Dynamic Topology Optimization for Dependable Sensor Networks

    Yutaka Iino, Takeshi Hatanaka, Masayuki Fujita

    2010 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS     274 - 279  2010  [Refereed]

     View Summary

    In this paper, wireless sensor network (WSN) topology optimization for dependability is considered, where two metrics "reliability" and "integrity" for WSN are defined. First, static topology optimization problem for reliability, integrity and joint optimization of them are investigated and some trade-off relationships are clarified. Then, dynamic topology optimization problem is proposed, where some node connections to their parents' nodes change dynamically with a stochastic distribution rate. Then a heuristic optimization method and some functions for each node to realize a decentralized optimization are proposed. Finally some numerical examples are illustrated to demonstrate the effectiveness of these optimization methods and the optimal WSN topology in various optimization problems.

    DOI

  • Event-predictive Control for Energy Saving of Wireless Networked Control System

    Yutaka Iino, Takeshi Hatanaka, Masayuki Fujita

    2009 AMERICAN CONTROL CONFERENCE, VOLS 1-9     2236 - 2242  2009  [Refereed]

     View Summary

    This paper discusses on a new concept of Event-predictive control, which is an extension of the Event-triggered control. The aim of the research is to apply such asynchronous sampling control strategy to a wireless networked control system to save battery energy consumption in the wireless nodes. The key idea is to maximize the control interval, under the condition of appropriate control performance, to save communication energy cost for battery life of wireless network nodes incorporated in the control system. A heuristic new concept of "predictive event" is introduced which is pre-determined as a cross-point of future predictive response of the controlled system and the stable region trajectory named "admissible set trajectory" to ensure recoverability to stable region. Then the sleep and wake mode of the wireless node is controlled according to the predictive events. Some considerations on stability condition are discussed, which is extendable to a class of nonlinear plants under some assumptions. A numerical example is illustrated to show the effectiveness of the proposed method.

    DOI

  • Hierarchical Model Predictive Control Applied to a Cement Raw Material Mixing Process

    Yutaka Iino

    SICE Journal of Control, Measurement, and System Integration   1 ( 3 ) 207 - 215  2008.11  [Refereed]  [Invited]

    DOI

  • Wireless Sensor Network based Control System Considering Communication Cost

    Yutaka Iino

    17th IFAC World Congress     2573 - 2576  2008.07  [Refereed]

  • Hierarchical MPC Supervisory Control with Sensitivity and Controllability Monitoring

    Yutaka Iino

    2008 PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-7     2022 - 2025  2008  [Refereed]

     View Summary

    Model Predictive Control (MPIC) enables to handle multi-objective optimal operations and control in various kinds of process controls. In fact, simultaneous optimization of stability, quality constrains and economical optimality, sometimes it fails into "infeasible" solution. Then a Supervisory Control Function in the hierarchical MPC configuration is proposed. It evaluates sensitivity of optimization and controllability in sense of "control degrees of freedom" and adjusts the control system structure as multi-input and multi-output closed loop system to be feasible. It realizes a kind of automatic "Plug and Play" function for control input. Some numerical simulations for general blending control in material process are evaluated to show the effectiveness of the proposed method.

    DOI

  • Wireless sensor network based control system - Trade off between sensor power saving and control performance

    Yutaka Iino, Masayuki Fujita

    PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-8     2573 - 2576  2007  [Refereed]

     View Summary

    This paper is discussed on some new control methodologies for wireless sensor network based closed loop control system. Such a system is required to save battery energy consumption, which will be achieved by saving communication speed. Then some new control strategies considering communication interval, which corresponds to sampling period of discrete control system, are considered here. At first, communication saved control problems is defined. Then, some heuristic control methods are proposed. One of them is based on the optimization of a cost function including control performance and communication penalty. Then two types of control optimization problems are defined, which correspond to state observer problem and state feedback control problem. These wireless sensor network conscious control methods will meet to industrial requirements.

    DOI

  • Risk based model predictive control with hybrid system structure and its application to thermal power plants

    Yutaka Iino, Shigeru Matsumoto, Akinori Kamito

    2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13     5276 - +  2006  [Refereed]

     View Summary

    An industrial Model Predictive Control method, which combines usual linear control and sequence control, is re-formulated. to a hybrid control algorithm. The plant start up and shut down sequence is naturally used in the industrial control method, but has not been analyzed theoretically. In this paper, the Thermal Power Plant optimal load distribution problem is formulated as Model Predictive Control with the constrained condition, and also the embedded start up and shut down optimal control sequence is designed with different objective functions. The new hierarchical control system structure is discussed as a hybrid control system, which can dramatically reduce the calculation effort, in spite of plant non-linearity, constraints and parameter uncertainty. A simulation example applied to a thermal power plant is demonstrated to show the effectiveness of the control method.

    DOI

  • Model Based Extended Wavelet Analysis and its application to fault diagnosis of an elevator system

    Y Iino, M Yukitomo, H Ogawa, K Kanazawa, Y Yamagishi

    (SYSID'97): SYSTEM IDENTIFICATION, VOLS 1-3     621 - 626  1998  [Refereed]

     View Summary

    A new wavelet analysis method is proposed, that is a combination of the wavelet transform, a nonlinear transformation and a correlation analysis. In this paper, it is called 'Extended Wavelet Analysis (EWA)' procedure. Furthermore, the 'Model Based EWA' method is proposed in which the nonlinear transformation is based on a model of the diagnosed object. It can analyze a short transient signal and it is effective for the correlation analysis between the wavelet spectrum and arbitrary variables in the object. It was applied to the diagnosis of an elevator system. Some simulation results and experimental results reveal the effectiveness of the EWA procedure.

  • Model Predictive Control with Multi-objective Cost Function considering Stabilization and Linear Cost Optimization

    Yutaka Iino

    IFAC ADCHEM ’97    1997.06  [Refereed]

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Misc

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Industrial Property Rights

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Awards

  • SICE Paper Award, No.1995

    2021.09   SICE   Cyber-physical Optimal Traffic Signal Control Based on a Macroscopic Traffic Model and Its Verification Using Microscopic Traffic Simulator

    Winner: Hayato Dan, Ryota Okamoto, Takeshi Hatanaka, Masakazu Mukai, Yutaka Iino

  • Best Paper Award of IEEJ Transactions on Electrical and Electronic Engineering 2021

    2021.09   IEEJ Transactions on Electrical and Electronic Engineering   Evaluation of Mutual Effect between Power and Traffic Aiming Electrified Urban Transportation System Using Integrated Light Rail Transit and Distribution System Model

    Winner: Hiroyuki Kosaba, Hiroyasu Kobayashi, Teru Miyazaki, Yutaka Iino, Keiichiro Kondo, Yasuhiro Hayashi, Ryota Yamamoto, Masahiko Hasegawa, Jun Yoshinaga

Presentations

  • 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

    電気学会 令和3年 全国大会 

    Presentation date: 2021.03

  • 多目的価値の実現を目的とした住宅需要家群向けDER最適配置計画の検討

    笠原 亮太, 飯野 穣, 林 泰弘, 金子 雄

    電気学会 令和3年 全国大会 

    Presentation date: 2021.03

  • 蓄電池とディーゼル発電機の協調制御による再エネ活用オフグリッドの運用手法

    長澤 和輝, 飯野 穣, 児玉 安広, 林 泰弘, 赤木 覚, 吉永 淳

    電気学会 令和3年 全国大会 

    Presentation date: 2021.03

  • エネルギー管理システムの計画軌道パターン学習による簡易予測制御方式の検討

    飯野 穣, 林 泰弘

    計測自動制御学会 第8回制御部門マルチシンポジウム(MSCS2021) 

    Presentation date: 2021.03

  • Feasibility Evaluation of Off-grid Performance in Distribution Network with Actual Data

    Kazuki Nagasawa, Yutaka Iino, Yasuhiro Kodama, Yasuhiro Hayashi, Satoru Akagi, Jun Yoshinaga

    The 4th International Workshop on Power Engineering in Remote Islands (IWPI2021) 

    Presentation date: 2021.02

  • 分散型エネルギー資源の相互エネルギー融通による環境価値の評価

    飯野 穣, 林 泰弘

    第37回エネルギー・資源学会エネルギーシステム・経済・環境コンファレンス 

    Presentation date: 2021.01

  • 可制御軌道に基づく分散型エネルギー資源アグリゲーション制御

    飯野 穣, 林 泰弘

    第63回自動制御連合講演会 

    Presentation date: 2020.11

  • HEMSとの協調を考慮した需要家蓄電池の配電系統電圧制御手法

    福井 将悟, 宮崎 輝, 飯野 穣, 広橋 亘, 林 泰弘, 松本 直也, 松本 侑, 稲垣 信

    電気学会 令和2年 電力・エネルギー部門大会(第31回) 

    Presentation date: 2020.09

  • 実都市データを用いたPV逆潮流削減を目的とした電動バスの最適充電スケジュール決定手法

    富澤 勇輝, 井原 雄人, 宮崎 輝, 飯野 穣, 林 泰弘, 山本 良太, 吉永 淳, 篠崎 一樹

    電気学会 令和2年 電力・エネルギー部門大会(第31回) 

    Presentation date: 2020.09

  • スマートハウス重点機器群による 需要家利益と系統貢献の両立にむけた基礎検討

    笠原 亮太, 飯野 穣, 林 泰弘, 金子 雄, 河口 俊朗, 岸本 卓也

    電気学会 令和2年 電力・エネルギー部門大会(第31回) 

    Presentation date: 2020.09

  • 需要家EMS群と協調した地産地消型エネルギー・環境マネジメントシステムの提案と評価

    飯野 穣, 林 泰弘

    第39回エネルギー・資源学会研究発表会 

    Presentation date: 2020.07

  • Proposal of Analysis and Visualization Method by Energy Structure Model of Complex Energy System

    Yutaka Iino, Hasuhiro Hayashi

    Japan Society of Energy and Resources 

    Presentation date: 2020.01

  • Consideration on DER Aggregation Method for Multiple Electricity markets

    Yutaka Iino, Yasuhiro Hayashi

    62th Japan Federal Conference on Automatic Control 

    Presentation date: 2019.11

  • Recent trends and issues on Smart City technology

    Yutaka Iino, Yasuhiro Hayashi  [Invited]

    SICE Conference of Industrial Application Div. 

    Presentation date: 2019.10

  • Proposal of DER potential evaluation process for flexibility aggregation

    Yutaka Iino, Yasuhiro Hayashi

    Japan Society of Energy and Resources 

    Presentation date: 2019.08

  • Proposal of a Multi-scenario based Model Predictive Control Method

    Yutaka Iino, Yasuhiro Hayashi

    6th SICE Control Div. Multi-symposium 

    Presentation date: 2019.03

  • Proposal of a Visual Evaluation Method pf Power Load Adjustment Potential from Load Curve Data of Energy Consumers

    Yutaka Iino, Yasuhiro Hayashi

    Japan Society of Energy and Resources 

    Presentation date: 2019.01

  • Consideration on EMS technology for Load Controllability Maximization of Bui with Viewpoint of Control Theorylding Facilities

    Yutaka Iino, Yasuhiro Hayashi

    61th Japan Fereral Conference on Automatic Control 

    Presentation date: 2018.11

  • Consideration on Possibility and Issue of Load Controllability with Utilization of Facilities in the Buildings

    Yutaka Iino, Nobuhisa Kobayashi

    IEEJ Smart Facilities conference 

    Presentation date: 2018.06

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Syllabus

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Committee Memberships

  • 2012.04
    -
    2020.03

    JST CREST  分散協調型エネルギー管理システム構築のための理論及び基盤技術の創出と融合展開 領域アドバイザー

  • 2015.01
    -
    2016.12

    計測自動制御学会  制御部門 副部門長および部門長