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English(EN) EVTradeMatch: A Mobility-Aware Multi-Objective Matching Framework for EV--EV Energy Trading

新框架利用多目标优化优化电动汽车到电动汽车的能源交易

研究人员开发了EVTradeMatch,这是一个旨在优化电动汽车(EV)之间点对点能源交易的新框架。该系统采用预测引导的多目标优化方法来匹配EV提供者和消费者,同时考虑移动性、能源传输和充电节点适用性等因素。该框架采用定制的非支配排序遗传算法II(NSGA-II)来寻找帕累托最优解,旨在平衡最大化覆盖范围、传输能量和适用性以及最小化移动成本等目标。实验结果表明,与现有方法相比,传输能量和充电节点适用性有了显著提高。 AI

影响 该框架可以提高电动汽车网络中能源管理的效率和灵活性。

排序理由 该条目是一篇学术论文,详细介绍了一个针对特定优化问题的新框架和算法。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.LG 阅读 →

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新框架利用多目标优化优化电动汽车到电动汽车的能源交易

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该条目是一篇学术论文,详细介绍了一个针对特定优化问题的新框架和算法。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Md. Mahfujur Rahman, Alistair Barros, Raja Jurdak, Darshika Koggalahewa ·

    EVTradeMatch:一种面向移动性的多目标EV--EV能源交易匹配框架

    arXiv:2609.10551v1 Announce Type: cross Abstract: Peer-to-peer energy trading among electric vehicles (EVs) can improve charging flexibility under limited charging infrastructure, but effective EV--EV trading requires coordinated provider--consumer matching under journey-specific…