Home energy management based on Bayesian network considering resident convenience

Tomoaki Shoji, Wataru Hirohashi, Yu Fujimoto, Yasuhiro Hayashi

研究成果: Conference contribution

5 引用 (Scopus)

抄録

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.

元の言語English
ホスト出版物のタイトル2014 IEEE PES Transmission and Distribution Conference and Exposition, PES T and D-LA 2014 - Conference Proceedings
出版者Institute of Electrical and Electronics Engineers Inc.
ISBN(印刷物)9781479962501
DOI
出版物ステータスPublished - 2014 11 10
イベント2014 IEEE PES Transmission and Distribution Conference and Exposition - Latin America, PES T and D-LA 2014 - Medellin
継続期間: 2014 9 102014 9 13

Other

Other2014 IEEE PES Transmission and Distribution Conference and Exposition - Latin America, PES T and D-LA 2014
Medellin
期間14/9/1014/9/13

Fingerprint

Energy management
Bayesian networks
Electricity
Energy management systems
Water heaters
Electric vehicles
Energy storage
Learning systems
Electric power utilization
Pumps
Air
Costs

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology

これを引用

Shoji, T., Hirohashi, W., Fujimoto, Y., & Hayashi, Y. (2014). Home energy management based on Bayesian network considering resident convenience. : 2014 IEEE PES Transmission and Distribution Conference and Exposition, PES T and D-LA 2014 - Conference Proceedings [6960597] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PMAPS.2014.6960597

Home energy management based on Bayesian network considering resident convenience. / Shoji, Tomoaki; Hirohashi, Wataru; Fujimoto, Yu; Hayashi, Yasuhiro.

2014 IEEE PES Transmission and Distribution Conference and Exposition, PES T and D-LA 2014 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. 6960597.

研究成果: Conference contribution

Shoji, T, Hirohashi, W, Fujimoto, Y & Hayashi, Y 2014, Home energy management based on Bayesian network considering resident convenience. : 2014 IEEE PES Transmission and Distribution Conference and Exposition, PES T and D-LA 2014 - Conference Proceedings., 6960597, Institute of Electrical and Electronics Engineers Inc., 2014 IEEE PES Transmission and Distribution Conference and Exposition - Latin America, PES T and D-LA 2014, Medellin, 14/9/10. https://doi.org/10.1109/PMAPS.2014.6960597
Shoji T, Hirohashi W, Fujimoto Y, Hayashi Y. Home energy management based on Bayesian network considering resident convenience. : 2014 IEEE PES Transmission and Distribution Conference and Exposition, PES T and D-LA 2014 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2014. 6960597 https://doi.org/10.1109/PMAPS.2014.6960597
Shoji, Tomoaki ; Hirohashi, Wataru ; Fujimoto, Yu ; Hayashi, Yasuhiro. / Home energy management based on Bayesian network considering resident convenience. 2014 IEEE PES Transmission and Distribution Conference and Exposition, PES T and D-LA 2014 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014.
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