Load profile disaggregation by Blind source separation: A wavelets-assisted independent component analysis approach

Yongli Zhu, Songtao Lu

Research output: Contribution to journalConference articlepeer-review

15 Scopus citations

Abstract

In this paper, a Blind-source separation method, i.e. Independent Component Analysis (ICA) is used for disaggregating the substation load profile into different patterns, i.e. residential and commercial groups. The smart meter data from a down town substation has been used. Principle Component Analysis (PCA) is applied for data reduction. Wavelet analysis is used to extract the trend signal from the original load profile as inputs for the ICA routine. Final results verify the effectiveness of this load profile disaggregation approach.

Original languageEnglish (US)
Article number6938947
JournalIEEE Power and Energy Society General Meeting
Volume2014-October
Issue numberOctober
DOIs
StatePublished - Oct 29 2014
Event2014 IEEE Power and Energy Society General Meeting - National Harbor, United States
Duration: Jul 27 2014Jul 31 2014

Keywords

  • Blind-source separation
  • load modeling
  • load profile
  • smart meter
  • statistic learning

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