Classification of AMI residential load profiles in the presence of missing data

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Domestic energy usage patterns can be reduced to a series of classifications for power system analysis or operational purposes, generalizing household behavior into particular load profiles without noise induced variability. However, with AMI data transmissions over wireless networks becoming more commonplace data losses can inhibit classification negating the benefits to the operation of the power system as a whole. Here, an approach allowing incomplete load profiles to be classified while maintaining less than a 10% classification error with up to 20% of the data missing is presented.
LanguageEnglish
Pages1944 - 1945
Number of pages2
JournalIEEE Transactions on Smart Grid
Volume7
Issue number4
Early online date28 Apr 2016
DOIs
Publication statusPublished - 31 Jul 2016

Fingerprint

Data communication systems
Wireless networks
Systems analysis

Keywords

  • load modeling
  • power systems
  • advanced metering infrastructure

Cite this

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Classification of AMI residential load profiles in the presence of missing data. / Harvey, Poppy; Stephen, Bruce; Galloway, Stuart.

In: IEEE Transactions on Smart Grid, Vol. 7, No. 4, 31.07.2016, p. 1944 - 1945.

Research output: Contribution to journalArticle

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