Event-Driven CNN–LSTM for Grid Exchange Forecasting in Industrial Microgrids: Feature Ablation and Multi-Horizon Evaluation
Industrial microgrids integrating distributed photovoltaic (PV) systems require accurate grid exchange forecasting for effective energy management. However, grid exchange exhibits substantial fluctuations due to physical events such as cloud shading, PV curtailment, and surplus export. Most existing deep learning metho...