Home energy management based on Bayesian network considering resident convenience

Tomoaki Shoji, Wataru Hirohashi, Yu Fujimoto, Yasuhiro Hayashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2014 IEEE PES Transmission and Distribution Conference and Exposition, PES T and D-LA 2014 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479962501
DOIs
Publication statusPublished - 2014 Nov 10
Event2014 IEEE PES Transmission and Distribution Conference and Exposition - Latin America, PES T and D-LA 2014 - Medellin
Duration: 2014 Sep 102014 Sep 13

Other

Other2014 IEEE PES Transmission and Distribution Conference and Exposition - Latin America, PES T and D-LA 2014
CityMedellin
Period14/9/1014/9/13

Fingerprint

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

Keywords

  • Bayesian network (BN)
  • demand response (DR)
  • home energy management system (HEMS)
  • machine learning
  • smart grid

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology

Cite this

Shoji, T., Hirohashi, W., Fujimoto, Y., & Hayashi, Y. (2014). Home energy management based on Bayesian network considering resident convenience. In 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.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Shoji, T, Hirohashi, W, Fujimoto, Y & Hayashi, Y 2014, Home energy management based on Bayesian network considering resident convenience. in 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. In 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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