OTHER
集成电-氢-交通系统的分层优化框架
Fulong Yao, Yiming Xu, Liana Cipcigan, Maurizio Albano, Naeima Hamed, Nima Valizadeh, Omer Rana
- 发表年份
- 2026
- 访问权限
- 开放获取
摘要
本文针对电动车和氢能车在交通系统中的协同调度问题，提出了一种分层优化框架。上层采用无求解器贪婪启发式算法实现实时调度，下层利用深度强化学习优化多能源分配，从而降低系统总运营成本。
关键词
electric-hydrogen systemvehicle schedulingdeep reinforcement learninghierarchical optimizationtransport system
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