Price-Responsive Control Strategy for Heat Pump Water Heaters Using Day-Ahead Pricing Schedules

Tempered Christoffel-Weighted Polynomial Chaos Expansion for Resilience-Oriented Uncertainty Quantification

A Hierarchical Multi-Agent Deep Reinforcement Learning Framework for Coordinated Logistics-Energy Scheduling in Electrified Seaports

Investigating Deep Reinforcement Learning Advantages and Response to Different Forecast Error Distribution in Energy Applications

Dispatch-Routing Optimization of Mobile Energy Storage for Spatiotemporal Arbitrage