Deep reinforcement learning for the optimized operation of large amounts of distributed renewable energy assets

This study utilizes machine Baby learning and, more specifically, reinforcement learning (RL) to allow for an optimized, real-time operation of large numbers of decentral flexible assets on private household scale in the electricity domain.The potential and current obstacles of RL are demonstrated and a guide for interested practitioners is provide

read more