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

Ayumu Miyasawa, Yu Fujimoto, Yasuhiro Hayashi

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)547-558
Number of pages12
JournalEnergy and Buildings
Volume183
DOIs
Publication statusPublished - 2019 Jan 15

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Factorization
Electric power utilization
Smart meters
Energy management
Labeling
Electricity
Decomposition
Feedback
Sensors

Keywords

  • Energy disaggregation
  • Non-intrusive appliance load monitoring
  • Non-negative matrix factorization
  • Smart electricity meters

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Mechanical Engineering
  • Electrical and Electronic Engineering

Cite this

Energy disaggregation based on smart metering data via semi-binary nonnegative matrix factorization. / Miyasawa, Ayumu; Fujimoto, Yu; Hayashi, Yasuhiro.

In: Energy and Buildings, Vol. 183, 15.01.2019, p. 547-558.

Research output: Contribution to journalArticle

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