Energy disaggregation via adaptive filtering

Roy Dong, Lillian J. Ratliff, Henrik Ohlsson, S. Shankar Sastry

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

Abstract

The energy disaggregation problem is recovering device level power consumption signals from the aggregate power consumption signal for a building. We show in this paper how the disaggregation problem can be reformulated as an adaptive filtering problem. This gives both a novel disaggregation algorithm and a better theoretical understanding for disaggregation. In particular, we show how the disaggregation problem can be solved online using a filter bank and discuss its optimality.

Original languageEnglish (US)
Title of host publication2013 51st Annual Allerton Conference on Communication, Control, and Computing, Allerton 2013
PublisherIEEE Computer Society
Pages173-180
Number of pages8
ISBN (Print)9781479934096
DOIs
StatePublished - 2013
Externally publishedYes
Event51st Annual Allerton Conference on Communication, Control, and Computing, Allerton 2013 - Monticello, IL, United States
Duration: Oct 2 2013Oct 4 2013

Publication series

Name2013 51st Annual Allerton Conference on Communication, Control, and Computing, Allerton 2013

Other

Other51st Annual Allerton Conference on Communication, Control, and Computing, Allerton 2013
Country/TerritoryUnited States
CityMonticello, IL
Period10/2/1310/4/13

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering

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