DynEC: dynamic evolutionary clustering for power user load profiling using multi-view graph neural networks
Yumin Yao
IntroductionWith the deep integration of generation-transmission-load-storage systems, the power demand side has become highly dynamic and stochastic, challenging the traditional assumption that user behavior remains stationary over time. Static clustering models therefore suffer from sensitivity to daily noise and false user identity switching.MethodsThis study proposes Dynamic Evolutionary Clustering (DynEC), a multi-view graph neural network framework for power user load profiling. DynEC cons