Stochastic Optimization for Resource Adequacy in Capacity Markets with Storage and Renewables

CFD-Based Multi-Fidelity Machine Learning for Communication-Link-Aware Restoration of Cyber-Physical Distribution Systems under Wildfires

Communication Network-Aware Missing Data Recovery for Enhanced Distribution Grid Visibility

Robust Physics-informed Neural Controllers for Large-Scale Active Distribution Networks

Hierarchical Bayesian Tree-Weighted Light Gradient Boosting for Probabilistic Long-Term Conventional Load Forecasting