Reinforcement Learning–Based Operational Optimization of a Hybrid Wind–CSP System with Thermal and Battery Energy Storage
Hybrid renewable power plants that combine multiple generation technologies with energy storage can improve renewable utilization and reliability, but their operation requires solving a high-dimensional, sequential dispatch problem under uncertainty. This paper presents a reinforcement learning (RL) framework for opera...