Disaggregating categories of electrical energy end-use from whole-house hourly data

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DOIResolve DOI: http://doi.org/10.1016/j.enbuild.2012.03.025
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TypeArticle
Journal titleEnergy and Buildings
ISSN0378-7788
Volume50
Pages93102; # of pages: 10
Subjectload disaggregation; residential; electricity; smart meter; Canada
AbstractThe residential sector uses nearly 30% of all electricity in Canada, and, it is important to know how this energy is being used, so that savings may be identified and realised. We propose a method that can be applied to hourly whole-house electrical energy data to partially disaggregate total household electricity use into five load categories/parameters (base load, activity load, heating season gradient, cooling season gradient and lowest external temperature at which air-conditioning is used). This paper develops the proposed method, and verifies it using high-resolution end-use data from twelve households with known characteristics. We then apply the method to hourly whole-house (smart meter) data from 327 households in Ontario. The roll-out of smart (advanced) metering infrastructure in many countries will make hourly whole-house data abundant, and we propose that this method could be widely applied by utilities to target their demand-side management programs towards households more likely to provide benefits, thus increasing the cost-effectiveness of such programs.
Publication date
LanguageEnglish
AffiliationNRC Institute for Research in Construction; National Research Council Canada
Peer reviewedYes
NRC number55233
NPARC number20809052
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Record identifier4785b057-1a97-48fd-8f46-4607ef80f21e
Record created2012-10-15
Record modified2016-05-09
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