eess.SY(2025-12-14)

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支柱四:生成式动作 (Generative Motion) (2) 支柱二:RL算法与架构 (RL & Architecture) (1) 支柱九:具身大模型 (Embodied Foundation Models) (1)

🔬 支柱四:生成式动作 (Generative Motion) (2 篇)

#题目一句话要点标签🔗
1 An End-to-End Approach for Microgrid Probabilistic Forecasting and Robust Operation via Decision-focused Learning 提出基于决策的端到端学习框架,用于微网概率预测和鲁棒运行优化。 penetration
2 Heavy-Duty Electric Vehicles Contribution for Frequency Response in Power Systems with V2G 利用V2G重型电动汽车提升电力系统频率响应 penetration

🔬 支柱二:RL算法与架构 (RL & Architecture) (1 篇)

#题目一句话要点标签🔗
3 Distributed Reinforcement Learning using Local Smart Meter Data for Voltage Regulation in Distribution Networks 提出基于本地智能电表数据的分布式强化学习方法,用于配电网电压调节 reinforcement learning

🔬 支柱九:具身大模型 (Embodied Foundation Models) (1 篇)

#题目一句话要点标签🔗
4 A Rule-Aware Prompt Framework for Structured Numeric Reasoning in Cyber-Physical Systems 提出一种规则感知Prompt框架,用于网络物理系统中基于结构化数值的推理。 large language model

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