Reinforcement Learning Based Algorithm for the Maximization of EV Charging Station Revenue

摘要

This paper presents an online reinforcement learning based application whichincreases the revenue of one particular electric vehicles (EV) station,connected to a renewable source of energy. Moreover, the proposed applicationadapts to changes in the trends of the station's average number of customersand their types. Most of the parameters in the model are simulatedstochastically and the algorithm used is a Q-learning algorithm. A computersimulation was implemented which demonstrates and confirms the utility of themodel.