Identifying residential consumption patterns using data-mining techniques: A large-scale study of smart meter data in Chengdu, China

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

No EPRG2114, Working Papers from Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge

Keywords: Residential electricity; household consumption behaviour; China; machine learning (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-ene, nep-isf, nep-ore and nep-ure
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Working Paper: Identifying residential consumption patterns using data-mining techniques: A large-scale study of smart meter data in Chengdu, China (2021)
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