A time aggregation approach for reducing identifiability in household energy data

S. van Schendel and I.A.M. Varenhorst

Utilities Policy, 2025, vol. 94, issue C

Abstract: •More privacy friendly ways of analyzing energy data from households are necessary to further developments of digitization.•For privacy and data protection it is important to reduce identifiability of individuals and households in the data.•Anonymization is difficult to achieve, aggregation has been demonstrated to be useful to reduce identifiability.•Time aggregation of energy profiles brings privacy benefits and does significantly impact on the performance of DSM.•The example of EV charging shows that is more difficult to identify the behavior of people when time aggregation is used.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:juipol:v:94:y:2025:i:c:s0957178725000153

DOI: 10.1016/j.jup.2025.101900

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