Comparative Evaluation Of Twin Delayed Deep Deterministic Policy Gradient Reinforcement Learning For Integrated Electrical-Hydrogen Energy Systems
This paper presents a simulation-based comparative evaluation of conventional optimization and twin delayed deep deterministic policy gradient (TD3)-based reinforcement learning methods for real-time energy management in an integrated electrical-hydrogen energy system (IEHES). With the increasing penetration of photovo...