Hierarchical Deep Reinforcement Learning Framework for Short-Term Solar Forecasting

Substation-Level Carbon Emission Forecasting for EV-Rich Distribution Systems via Multimodal LLM-Embedded Neural Networks

An LLM-guided Moving Target Defense Framework For Virtual Power Plants

A Family of Probabilistic Load Forecasters That Scales to Massive Customers

Deep Learning based Equivalent Electromagnetic Transient Model for Distribution Feeders with High Penetration of Distributed Energy Resources