Energy disaggregation based on smart metering data via semi-binary nonnegative matrix factorization

Ayumu Miyasawa*, Yu Fujimoto, Yasuhiro Hayashi

*この研究の対応する著者

研究成果: Article査読

20 被引用数 (Scopus)

抄録

The information measured by smart electricity meters in households enables consumers to understand the relationship between their behavior and the power consumption. This paper proposes an energy disaggregation method to estimate the individual-appliance power consumption utilizing the total power consumption data collected by smart meters without requiring additional sensors for supporting sustainable demand-side energy management. In addition, in order to enable appliance labeling and highly accurate estimation without submetered data of the target households, the utilization of auxiliary information such as consumer feedback is suggested. This scheme provides users the opportunity to explicitly point out incorrect current disaggregation results so as to improve forthcoming future decomposition accuracy. The accuracy of the proposed energy disaggregation framework is evaluated using real-world power consumption data sets.

本文言語English
ページ(範囲)547-558
ページ数12
ジャーナルEnergy and Buildings
183
DOI
出版ステータスPublished - 2019 1 15

ASJC Scopus subject areas

  • 土木構造工学
  • 建築および建設
  • 機械工学
  • 電子工学および電気工学

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