A New Generative AI Approach to Forecast Solar Power in the Presence of Wildfire Smoke

Fusion of Multi-Source Data Based on Improved Bayesian Network for Power Grid Anomaly State Identification

Hierarchical Decomposition and Deep Learning Forecasting for Operational Region Modeling of Flexibility Resources

Dual-Branch Variational Autoencoder with Ensemble Learning for Fault Classification in Inverter-Based Resource-Dominated Power Systems

Prediction of Cascading Failure Size Using a Graph Neural Network with Dynamic Weights