Load disaggregation using harmonic analysis and regularized optimization

Jerry T. Chiang, Tianzhu Zhang, Binbin Chen, Yih Chun Hu

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

Abstract

In this paper, we present a load disaggregation technique that uses regularized optimization together with harmonic frequency signatures of appliances. The benefits of our technique are twofold: 1) The regularized optimization is faster than integer programming; and 2) The harmonic frequency signatures allow us to disaggregate the loads using as few as 10 cycles (equaling as little as 200 milliseconds) of samples, instead of having to wait for state changes from appliances or weekly usage pattern to emerge. We test our proposed technique in proof-of-concept experiments and show that our technique returns accurate disaggregation results.

Original languageEnglish (US)
Title of host publication2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012
StatePublished - Dec 1 2012
Event2012 4th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012 - Hollywood, CA, United States
Duration: Dec 3 2012Dec 6 2012

Publication series

Name2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012

Other

Other2012 4th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012
CountryUnited States
CityHollywood, CA
Period12/3/1212/6/12

ASJC Scopus subject areas

  • Information Systems

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