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.