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 - Jan 1 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
CountryUnited States
CityMonticello, IL
Period10/2/1310/4/13

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering

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  • Cite this

    Dong, R., Ratliff, L. J., Ohlsson, H., & Sastry, S. S. (2013). Energy disaggregation via adaptive filtering. In 2013 51st Annual Allerton Conference on Communication, Control, and Computing, Allerton 2013 (pp. 173-180). [6736521] (2013 51st Annual Allerton Conference on Communication, Control, and Computing, Allerton 2013). IEEE Computer Society. https://doi.org/10.1109/Allerton.2013.6736521