Analysis of Electricity Consumption Behaviors Based on 1D-CAE-ResBlock and Deep Embedded Clustering
With the rapid development of smart grids, accurate identification of user electricity consumption behavior patterns has become an essential foundation for demand-side management and personalized power services. However, traditional clustering methods struggle to effectively capture the underlying regularities of daily...