Energy disaggregation based on semi-supervised matrix factorization using feedback information from consumers

Ayumu Miyasawa, Masako Matsumoto, Yu Fujimoto, Yasuhiro Hayashi

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Visualizations that depict a consumer's utilization of domestic appliances aid them in effectively thinking about energy conservation. Energy disaggregation aims to break down the total power consumed into the amount consumed by each individual appliance through the use of a single smart meter. This estimation technique provides detailed information about energy consumption and is cheaper than techniques that directly measure each appliance. In order to improve the accuracy of disaggregation, we utilize the consumer feedback information without placing any special burden on the consumer. We propose a semi-supervised shift-invariant weighted non-negative matrix factorization method with auxiliary feedback that records the on or off status of each individual appliance. The experimental results obtained by applying our proposed method to household datasets show that our proposed method and the associated auxiliary information generated contribute to the improvement of the disaggregation accuracy.

本文言語English
ホスト出版物のタイトル2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1-6
ページ数6
ISBN(電子版)9781538619537
DOI
出版ステータスPublished - 2017 7 1
イベント2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Torino, Italy
継続期間: 2017 9 262017 9 29

出版物シリーズ

名前2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings
2018-January

Other

Other2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017
国/地域Italy
CityTorino
Period17/9/2617/9/29

ASJC Scopus subject areas

  • 電子工学および電気工学
  • エネルギー工学および電力技術
  • コンピュータ ネットワークおよび通信

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