Performance Comparison of Deep RL Algorithms for Energy Systems Optimal Scheduling

Hou Shengren, Edgar Mauricio Salazar, Pedro P. Vergara +1

Taking advantage of their data-driven and model-free features, Deep Reinforcement Learning (DRL) algorithms have the potential to deal with the increasing level of uncertainty due…