Residential electricity load profiles and their determinants: A cluster analysis of smart meter data

Valentin Favre-Bulle and Sylvain Weber ()

No 26-03, IRENE Working Papers from IRENE Institute of Economic Research

Abstract: We analyse two years of hourly electricity consumption data from approximately 4,000 households. Using cluster analyses, we identify three segments with distinct daily load profiles. Using multinomial logit models, we then explore how dwelling characteristics (e.g., heat pumps, photovoltaic panels, appliance usage) and socio- demographic variables (.e.g., employment status and age) influence cluster member- ship. Dwelling characteristics primarily distinguish low- and high-consumption house- holds, while socio-demographic factors further differentiate among remaining groups. These insights support targeted demand-side policies and enable providers to imple- ment tailored dynamic pricing strategies.

Keywords: Cluster analysis; Demand-side management; Household electricity load profiles; Load curves; Multinomial logit model; Smart meters analytics (search for similar items in EconPapers)
JEL-codes: C38 D12 L94 Q41 Q48 (search for similar items in EconPapers)
Pages: 31 pages.
Date: 2026-02
New Economics Papers: this item is included in nep-ene
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Persistent link: https://EconPapers.repec.org/RePEc:irn:wpaper:26-03

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