AI RESEARCH

The Impact of Temporal Granularity on Socio-Demographic Inference from Household Load Profiles

arXiv CS.LG

ArXi:2606.03358v1 Announce Type: new Smart meter data can reveal sensitive socio-graphic characteristics of households, raising privacy concerns. While this risk has been nstrated at fixed granularities, the role of temporal resolution in shaping inference performance remains insufficiently explored. This paper addresses this gap by analyzing how load profiles with granularities from 15 minutes to 7 days affect the predictability of eight socio-graphic attributes in a dataset of 1,589 households over one year. We.