ARLEM : Adaptive Reinforcement Learning for Energy Management
Managing energy in urban areas is complex due to the diversity of energy users, dynamic environmental conditions, and the increased instability caused by extreme weather events. This work explains the impacts of a new technology based on implanting adaptive reinforcement learning (ARL) into energy management (EM), which is called ARLEM. The technology uses an online, value-based, model-free ARL en
