LEARNING
面向可持续电动汽车充电与碳减排的排放感知强化学习：考虑可变可再生能源渗透率
Ninglin Ou, Mohammad A. Razzaque, Iftekher Islam Shovon, Shafkat Khan Siam, Shafiuzzaman K Khadem, Krishnendu Guha, Mayeen U Khandaker, Md. Noor-A-Rahim
- 发表年份
- 2026
- 访问权限
- 开放获取
摘要
本文提出一种基于软演员-评论家算法的排放感知强化学习策略，通过多目标奖励函数同时优化碳排放、可再生能源削减和用户需求满足。在EV2Gym平台上，该策略与九种控制方法在五种可再生能源渗透率场景下对比，验证了其减碳有效性。
关键词
reinforcement learningelectric vehicle chargingcarbon emission reductionrenewable energysustainable scheduling
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