Development of prediction-based operation planning method for domestic air-conditioner with adaptive learning of installation environment

Ryoichi Kuroha, Yu Fujimoto, Wataru Hirohashi, Yoshiharu Amano, Shinichi Tanabe, Yasuhiro Hayashi

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

The world is more aware of the need for saving energy because of increasing world energy consumption and environmental problems. To promote saving energy in the domestic field, the use of home energy management systems (HEMSs) is rapidly spreading. The HEMS which has automatically controlling function can control domestic electrical appliances including air-conditioners (ACs). In this research, we focus on AC operation plans to improve thermal comfort and reduce electricity costs for residents. However, AC control planning is generally a difficult task because the operation results greatly depend on the environmental characteristics in which the HEMS is installed. To solve this problem, we proposed an AC planning method that accounts for environmental characteristics and uncertainty in prediction by using historical data.

本文言語English
ホスト出版物のタイトル2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781538628904
DOI
出版ステータスPublished - 2017 10 26
イベント2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017 - Washington, United States
継続期間: 2017 4 232017 4 26

Other

Other2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
国/地域United States
CityWashington
Period17/4/2317/4/26

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • エネルギー工学および電力技術
  • 再生可能エネルギー、持続可能性、環境
  • 制御と最適化

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