Identifying residential daily electricity-use profiles through time-segmented regression analysis

Volume: 194, Pages: 232 - 246
Published: Jul 1, 2019
Abstract
In many countries the residential sector contributes significantly to peak demand. Some of the promising approaches to reduce these peaks, such as energy efficiency and demand-side management (DSM) programmes, currently lack the sophistication to target households with particular characteristics or that make the most contribution to peaks. We present an analytical approach ‘time-segmented regression analysis (TSRA)’ that is able to determine the...
Paper Details
Title
Identifying residential daily electricity-use profiles through time-segmented regression analysis
Published Date
Jul 1, 2019
Volume
194
Pages
232 - 246
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