Residential Electricity Consumption Patterns in Northwestern Switzerland: Evidence from the INFINEED Project

Valentin Favre-Bulle and Sylvain Weber

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

Abstract: Using k-means clustering, we analyse two years of hourly electricity consumption data from approximately 4,000 households, based on specific consumption features. We identify three distinct clusters with clearly differentiated consumption levels and daily load profiles. A multinomial logit model links cluster membership to dwelling characteristics (e.g., heat pumps, photovoltaic panels) and, for a subsample of 158 households, to detailed socio-demographic variables such as employment status, age, and appliance usage. Dwelling characteristics primarily distinguish low- and highconsumption households, while socio-demographic factors further differentiate among remaining groups. These insights support targeted demand-side policies and enable providers to implement tailored dynamic pricing strategies.

Keywords: Household electricity load profiles; Cluster analysis; K-means; Multinomial logit model; Load curves; Smart meters (search for similar items in EconPapers)
JEL-codes: C38 D12 L94 Q41 Q48 (search for similar items in EconPapers)
Pages: 39 pages.
Date: 2026-02
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Persistent link: https://EconPapers.repec.org/RePEc:irn:wpaper:26-03

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