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

Ayumu Miyasawa, Masako Matsumoto, Yu Fujimoto, Yasuhiro Hayashi

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

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
Volume2018-January
ISBN (Electronic)9781538619537
DOIs
Publication statusPublished - 2018 Jan 16
Event2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Torino, Italy
Duration: 2017 Sep 262017 Sep 29

Other

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

Fingerprint

Factorization
Smart meters
Feedback
Domestic appliances
Energy conservation
Energy utilization
Visualization

Keywords

  • energy disaggregation
  • energy management system
  • home appliances
  • machine learning
  • matrix factorization
  • smart house

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology

Cite this

Miyasawa, A., Matsumoto, M., Fujimoto, Y., & Hayashi, Y. (2018). Energy disaggregation based on semi-supervised matrix factorization using feedback information from consumers. In 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings (Vol. 2018-January, pp. 1-6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGTEurope.2017.8260211

Energy disaggregation based on semi-supervised matrix factorization using feedback information from consumers. / Miyasawa, Ayumu; Matsumoto, Masako; Fujimoto, Yu; Hayashi, Yasuhiro.

2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-6.

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

Miyasawa, A, Matsumoto, M, Fujimoto, Y & Hayashi, Y 2018, Energy disaggregation based on semi-supervised matrix factorization using feedback information from consumers. in 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017, Torino, Italy, 17/9/26. https://doi.org/10.1109/ISGTEurope.2017.8260211
Miyasawa A, Matsumoto M, Fujimoto Y, Hayashi Y. Energy disaggregation based on semi-supervised matrix factorization using feedback information from consumers. In 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-6 https://doi.org/10.1109/ISGTEurope.2017.8260211
Miyasawa, Ayumu ; Matsumoto, Masako ; Fujimoto, Yu ; Hayashi, Yasuhiro. / Energy disaggregation based on semi-supervised matrix factorization using feedback information from consumers. 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-6
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