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Open access Aug 2026

EleMoE: An Unsupervised User Profiling Framework for Electricity Consumption Behavior

A novel deep self-supervised learning framework based on a Mixture of Experts (MoE) architecture for unsupervised profiling of residential electricity consumption behavior, which offers an efficient, automated, interpretable, and robust new methodology for user behavior analysis in smart grids.

Xi-Jun Lin, Kangqian Huang, Zhen-Zhen Liu et al. · 0 citations

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