Transmission Interface Power Flow Adjustment: A Deep Reinforcement
Learning Approach based on Multi-task Attribution Map

Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach based on Multi-task Attribution Map

24 May 2024

Papers citing "Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach based on Multi-task Attribution Map"

9 / 9 papers shown

Title
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach Hanyang Yuan Jiarong Xu Renhong Huang Mingli Song Chunping Wang Yang Yang AAML 38 1 0 06 Nov 2024
Learning a Mini-batch Graph Transformer via Two-stage Interaction Augmentation Wenda Li Kaixuan Chen Shunyu Liu Tongya Zheng Wenjie Huang Mingli Song 49 0 0 13 Jul 2024
Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks Yuwen Wang Shunyu Liu Tongya Zheng Kaixuan Chen Mingli Song AI4CE 40 5 0 02 Jul 2024
Temporal Prototype-Aware Learning for Active Voltage Control on Power Distribution Networks Feiyang Xu Shunyu Liu Yunpeng Qing Yihe Zhou Yuwen Wang Mingli Song 30 2 0 25 Jun 2024
Improving Adversarial Robustness via Feature Pattern Consistency Constraint Jiacong Hu Jingwen Ye Zunlei Feng Jiazhen Yang Shunyu Liu Xiaotian Yu Lingxiang Jia Mingli Song AAML 44 2 0 13 Jun 2024
Simple Graph Condensation Zhenbang Xiao Yu Wang Shunyu Liu Huiqiong Wang Mingli Song Tongya Zheng DD 69 7 0 22 Mar 2024
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective Yunpeng Qing Shunyu Liu Jingyuan Cong Kaixuan Chen Yihe Zhou Mingli Song OffRL 37 1 0 12 Mar 2024
Disentangled Condensation for Large-scale Graphs Zhenbang Xiao Shunyu Liu Yu Wang Tongya Zheng Mingli Song Mingli Song Tongya Zheng DD 85 6 0 18 Jan 2024
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges Yunpeng Qing Shunyu Liu Mingli Song Huiqiong Wang Mingli Song XAI 33 1 0 12 Nov 2022