基于强化学习的EV充电站收益最大化算法
Reinforcement Learning Based Algorithm for the Maximization of EV Charging Station Revenue
摘要：
本文提出了一种基于在线强化学习的应用程序，它增加了一个特定的电动汽车（EV）站的收入，连接到可再生能源。此外，所提出的应用程序适应车站的平均客户数量及其类型的趋势的变化。模型中的大部分参数都是随机模拟的，所采用的算法是Q-学习算法。通过计算机模拟验证了该模型的有效性。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
