State-Triggered Adaptive Microgrid Dispatch for EV Charging: A Hybrid Deep Learning and Multi-Objective Optimization Framework
This study proposes a hybrid framework that combines a VMD-CNN-ABiLSTM-IGCRA forecasting model with a state-triggered adaptive scheduling strategy that supports the operational value of linking load forecasting with transparent state-dependent mode selection.