eess.SY(2025-07-24)

📊 共 7 篇论文

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支柱四:生成式动作 (Generative Motion) (3) 支柱二:RL算法与架构 (RL & Architecture) (2) 支柱一:机器人控制 (Robot Control) (1) 支柱八:物理动画 (Physics-based Animation) (1)

🔬 支柱四:生成式动作 (Generative Motion) (3 篇)

#题目一句话要点标签🔗
1 Design and optimization of a novel leaf-shape antenna for RF energy transfer 提出一种新型叶状天线,优化射频能量传输效率 penetration
2 Optimal Integration Of Heat-Pump And Solar Thermal Energy In The Pre-heating Loop Of Wood And Gas Boiler Based District Heating System 优化热泵与太阳能在区域供热系统中木材和燃气锅炉预热回路的集成 penetration
3 Regional Frequency-Constrained Planning for the Optimal Sizing of Power Systems via Enhanced Input Convex Neural Networks 提出基于增强输入凸神经网络的区域频率约束电力系统优化规划方法 penetration

🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗
4 Towards Microgrid Resilience Enhancement via Mobile Power Sources and Repair Crews: A Multi-Agent Reinforcement Learning Approach 提出一种分层多智能体强化学习方法,用于通信受损情况下移动电源和维修队伍的协同调度,提升微电网弹性。 reinforcement learning
5 Two-Stage TSO-DSO Services Provision Framework for Electric Vehicle Coordination 提出两阶段TSO-DSO协同框架,协调电动汽车参与频率调节并保障配电网电压安全 reinforcement learning penetration

🔬 支柱一:机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗
6 A Robust Predictive Control Method for Pump Scheduling in Water Distribution Networks 提出鲁棒预测控制方法以优化水分配网络的泵调度 MPC model predictive control

🔬 支柱八:物理动画 (Physics-based Animation) (1 篇)

#题目一句话要点标签🔗
7 Carbon Emission Flow Tracing: Fast Algorithm and California Grid Study 提出一种快速碳排放流追踪算法,用于量化电力系统节点碳排放率,并应用于加州电网研究。 spatiotemporal

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