Handling data heterogeneity in electricity load disaggregation via optimized complete ensemble empirical mode decomposition and wavelet packet transform

Kwok Tai Chui*, Brij B. Gupta, Ryan Wen Liu, Pandian Vasant

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)
20 Downloads (Pure)

Abstract

Global warming is a leading world issue driving the common social objective of reducing carbon emissions. People have witnessed the melting of ice and abrupt changes in climate. Reducing electricity usage is one possible method of slowing these changes. In recent decades, there have been massive worldwide rollouts of smart meters that automatically capture the total electricity usage of houses and buildings. Electricity load disaggregation (ELD) helps to break down total electricity usage into that of individual appliances. Studies have implemented ELD models based on various artificial intelligence techniques using a single ELD dataset. In this paper, a powerline noise transformation approach based on optimized complete ensemble empirical model decomposition and wavelet packet transform (OCEEMD–WPT) is proposed to merge the ELD datasets. The practical implications are that the method increases the size of training datasets and provides mutual benefits when utilizing datasets collected from other sources (especially from different countries). To reveal the effectiveness of the proposed method, it was compared with CEEMD–WPT (fixed controlled coefficients), standalone CEEMD, standalone WPT, and other existing works. The results show that the proposed approach improves the signal-to-noise ratio (SNR) significantly.

Original languageEnglish
Article number3133
Pages (from-to)1-13
Number of pages13
JournalSensors
Volume21
Issue number9
Early online date30 Apr 2021
DOIs
Publication statusPublished - 1 May 2021

Bibliographical note

Copyright the Author(s) 2021. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • Complete ensemble empirical mode decomposition
  • Data heterogeneity
  • Electricity load disaggregation
  • Nonintrusive load monitoring
  • Smart grid
  • Smart meter
  • Wavelet packet transform

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