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