Weather-Aware Data-Driven Microgrid Energy Management Using Deep Reinforcement Learning

In this paper, we develop a deep reinforcement learning (DRL) framework to manage distributed energy resources (DER) in a prosumer-centric microgrid under generation uncertainties. The uncertainty stems from varying weather conditions (i.e., sunny versus cloudy days) that impact the power generation of the residential solar photo-voltaic (PV) panels. In our proposed system model, the microgrid con...