Machine Learning on residential electricity consumption: Which households are more responsive to weather?

Jieyi Kang () and David Reiner
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Jieyi Kang: Department of Land Economy, University of Cambridge

No EPRG2113, Working Papers from Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge

Keywords: Weather sensitivity; smart metering data; unsupervised learning; clusters; residential electricity; consumption patterns; Ireland (search for similar items in EconPapers)
JEL-codes: C55 D12 Q41 R22 (search for similar items in EconPapers)
Date: 2021-05
New Economics Papers: this item is included in nep-big, nep-cmp, nep-ene and nep-isf
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Working Paper: Machine Learning on residential electricity consumption: Which households are more responsive to weather? (2021)
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