Section: Computer Science and EngineeringMajor Research topic
:Reinforcement Learning for Energy ApplicationsAbstract:
Reinforcement Learning (RL) is the most suitable way to influence the behavior of a machine’s control system, providing the opportunity to improve their efficiency. This project will design RL algorithms to efficiently control energy management systems and, at the same time, minimize the deteriorations of the energy dispatching equipment. The developed techniques will be applied to real context, like self-consumption systems and electric vehicles, to verify the impact of the research.