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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 27  /  [Next]  
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
 Results 1 - 20 of 27  /  [Next]  
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