Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SS, MSS |
2024-01-17 16:25 |
Ishikawa |
(Primary: On-site, Secondary: Online) |
Distributed Optimization of Energy Management Systems Considering Section Total Demands Genya Tamayama, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2023-59 SS2023-38 |
An energy management system (EMS) consists of multiple agents such as factories and buildings. In this paper, we propose... [more] |
MSS2023-59 SS2023-38 pp.40-43 |
EE, CPM, OME |
2023-12-08 15:45 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Power Consumption Change by Temperature Control of Air-Conditioning Equipment Tsuyoshi Nishitani, Aoi Tanaka, Kazuto Yukita, Tokimasa Goto, Katsunori Mizuno, Yasuyuki Goto (AIT) EE2023-32 CPM2023-88 OME2023-59 |
In recent years, the energy situation has been changing day by day. In this context, energy conservation is required in ... [more] |
EE2023-32 CPM2023-88 OME2023-59 pp.41-46 |
NLP, MSS |
2023-03-16 15:45 |
Nagasaki |
(Primary: On-site, Secondary: Online) |
Distributed Optimization of Energy Management Systems with Peak Shift Constraints Genya Tamayama, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2022-90 NLP2022-135 |
An energy management system (EMS) consists of multiple agents such as factories and buildings. In this paper, we propose... [more] |
MSS2022-90 NLP2022-135 pp.132-135 |
CAS, MSS, IPSJ-AL [detail] |
2022-11-17 16:30 |
Kochi |
(Primary: On-site, Secondary: Online) |
Self-Triggered Distributed Optimization of Energy Management Systems with Demand Response Genya Tamayama, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2022-46 MSS2022-29 |
Energy management system consists of multiple agents such as factories and buildings. In this paper, based on the concep... [more] |
CAS2022-46 MSS2022-29 pp.47-50 |
RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-16 10:30 |
Online |
Online |
Diagnosis of Demand Response: Detection of Defaulting Participants by Using Prior Knowledge Fangyuan Xu, Shun-ichi Azuma (Nagoya Univ.) RCC2021-35 |
Demand response (DR) is a mechanism provided by the aggregator to encourage participants to reduce their electricity dem... [more] |
RCC2021-35 pp.56-58 |
NLP, MSS (Joint) |
2021-03-15 14:30 |
Online |
Online |
Design of Model Predictive-Based Demand Response Utilizing Price Information Masafumi Murata, Koichi Kobayashi (Hokkaido Univ.), Shun-ichi Azuma (Nagoya Univ.), Nobuyuki Yamaguchi (Tokyo Univ. of Science), Yuh Yamashita (Hokkaido Univ.) MSS2020-46 |
In this paper, we propose a method of demand response (DR) based on model predictive control. In the authors' previous m... [more] |
MSS2020-46 pp.14-17 |
MSS, SS |
2021-01-26 13:25 |
Online |
Online |
A consumer behavior model using meteorological date in a negawatt trading market Yuto Tamura, Norihiko Shinomiya (Soka Univ.) MSS2020-30 SS2020-15 |
Negawatt trading is expected to suppress peak electrical power consumption and increase the utilization efficiency of po... [more] |
MSS2020-30 SS2020-15 pp.7-12 |
MSS, SS |
2021-01-26 14:00 |
Online |
Online |
[Invited Talk]
Blockchain-Based Distributed Optimization of Energy Management Systems
-- Integration with Demand Response -- Daiki Ogawa, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2020-31 SS2020-16 |
In this paper, a blockchain-based distributed optimization method for energy management systems (EMSs) is studied. Using... [more] |
MSS2020-31 SS2020-16 pp.13-18 |
SWIM, KBSE |
2019-05-24 11:15 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Construction of a regression analysis model of the electricity market including weather data
-- Economic analysis of price effect, energy conservation effect and social welfare effect -- Hiroyuki Ogura (Mitsubishi Electric Corp.), Shunsuke Managi (Kyushu Univ.), Masahiko Ishino (Bunkyo Univ.) KBSE2019-2 SWIM2019-2 |
In this paper, we constructed a regression analysis model of the electricity power market including weather data, using ... [more] |
KBSE2019-2 SWIM2019-2 pp.9-16 |
CAS, ICTSSL |
2019-01-25 14:20 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
A study on the impact of consumers' behavior for power saving on instability of negawatt power in an electricity market Yuto Tamura, Naohiro Tachibana, Norihiko Shinomiya (Soka Univ.) CAS2018-134 ICTSSL2018-53 |
In an electricity market, negawatt trading, which means a type of trading of electrical power saved by consumers, is exp... [more] |
CAS2018-134 ICTSSL2018-53 pp.87-90 |
MSS, SS |
2019-01-15 10:25 |
Okinawa |
|
A method for reducing instability of negawatt power and inequality among consumers in an electricity market Naohiro Tachibana, Ryo Hase, Norihiko Shinomiya (Soka Univ.) MSS2018-54 SS2018-25 |
Negawatt trading, which means a type of trading of electrical power saved by consumers, is expected to suppress peak pow... [more] |
MSS2018-54 SS2018-25 pp.1-6 |
MSS, SS |
2019-01-15 10:50 |
Okinawa |
|
Model Predictive Control of Dynamics in Power Consumption for Demand Response Kenta Ohashi, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2018-55 SS2018-26 |
Demand response is a method of controlling electric equipments on the customer side according to the situation of power ... [more] |
MSS2018-55 SS2018-26 pp.7-12 |
MSS, SS |
2019-01-15 11:15 |
Okinawa |
|
Design of Demand Response Based on Event-Triggered Model Predictive Control Kodai Miyazaki, Koichi Kobayashi (Hokkaido Univ.), Shun-ichi Azuma (Nagoya Univ.), Nobuyuki Yamaguchi (Tokyo Univ. of Science), Yuh Yamashita (Hokkaido Univ.) MSS2018-56 SS2018-27 |
In design of energy management systems, aggregators such as retailers play the important role. One of the roles of aggre... [more] |
MSS2018-56 SS2018-27 pp.13-18 |
MSS, SS |
2019-01-15 17:00 |
Okinawa |
|
[Invited Talk]
Game Theoretic Approach to Power Consumption Reduction Problem with Incentive Allocation Yuta Hasegawa, Takafumi Kanazawa (Osaka Univ.) MSS2018-65 SS2018-36 |
The demand response is attracting attention to perform electric power load leveling. In this paper, we consider a power ... [more] |
MSS2018-65 SS2018-36 pp.57-60 |
SWIM |
2018-12-01 14:15 |
Tokyo |
Tokyo Univ. of Science |
Correlation analysis between Power trading market and Demand Response effect
-- Economic analysis of efficiency and environment on electricity deregulation -- Hiroyuki Ogura (Mitsubishi Electric Corp.), Shunsuke Managi (Kyushu Univ.), Masahiko Ishino (Bunkyo Univ.) SWIM2018-16 |
In Japan's electricity trading market, electricity deregulation including households was implemented in April 2016, the ... [more] |
SWIM2018-16 pp.1-8 |
SWIM |
2018-05-19 15:40 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Panel data regression model analysis on energy saving behaviors at home
-- Relationship between Smart Grid Economics and Inclusive Wealth -- Hiroyuki Ogura (Mitsubishi Electric Corp), Shunsuke Managi (Kyushu Univ.), Masahiko Ishino (Bunkyo Univ.) SWIM2018-5 |
In order to realize Decarbonization and Digital Economy Society, it is necessary to introduce demand response (DR) into... [more] |
SWIM2018-5 pp.21-26 |
ICTSSL, CAS |
2018-01-25 11:15 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
A study on a method for reducing uncertainty of negawatt power in electricity market Naohiro Tachibana, Ryo Hase, Norihiko Shinomiya (Soka Univ.) CAS2017-112 ICTSSL2017-39 |
Negawatt trading, which means trading of electric power saved by consumers, is expected to suppress peak power consumpti... [more] |
CAS2017-112 ICTSSL2017-39 pp.17-22 |
CAS, MSS, IPSJ-AL [detail] |
2017-11-17 14:45 |
Tokyo |
|
Game Model of Selfish Consumers in Power Consumption Reduction Problem under Aggregator's Incentive Allocation Yuta Hasegawa, Takafumi Kanazawa (Osaka Univ.) CAS2017-58 MSS2017-42 |
In power supply, the demand response is attracting attention to perform electric power load leveling. Consumers are offe... [more] |
CAS2017-58 MSS2017-42 pp.123-128 |
NS, IN (Joint) |
2017-03-03 15:30 |
Okinawa |
OKINAWA ZANPAMISAKI ROYAL HOTEL |
Demand Response Minimizing the Impact on the Consumers' Utility Towards Renewable Energy Ryo Kutsuzawa, Naoya Takemura, Akira Yamashita, Jun Matsumoto (Keio Univ.), Makoto Tanaka (GRIPS), Naoaki Yamanaka (Keio Univ.) NS2016-226 |
In the smart grid, each consumer has a smart meter that communicates with electricity companies and other consumers and ... [more] |
NS2016-226 pp.395-400 |
AI |
2015-06-18 11:55 |
Tokyo |
|
Robust Policy Optimization for Demand Response to Utilize Photovoltaics Power
-- Effects of State Representation -- Sachiyo Arai, Talatoshi Watanabe (Chiba Univ.) AI2015-4 |
In order to utilize solar photovoltaic, it is important to resolve instability of its demand. We have proposed a reinfor... [more] |
AI2015-4 pp.19-24 |