Showing 1–17 of 17 results
/ Date/ Name
Jul 29, 2024Imitation Learning for Intra-Day Power Grid Operation through Topology ActionsApr 21, 2025A Conceptual Framework for AI-based Decision Systems in Critical InfrastructuresJan 13, 2025Graph Neural Networks for Transmission Grid Topology Control: Busbar Information Asymmetry and Heterogeneous RepresentationsApr 3, 2023Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agentsNov 26, 2020Exploring grid topology reconfiguration using a simple deep reinforcement learning approachNov 3, 2023Hierarchical Reinforcement Learning for Power Network Topology ControlJan 29, 2025Accelerated DC loadflow solver for topology optimizationJan 27, 2025Multi-Objective Reinforcement Learning for Power Grid Topology ControlMar 19, 2025Learning Topology Actions for Power Grid Control: A Graph-Based Soft-Label Imitation Learning ApproachJun 1, 2006Rotating Einstein-Maxwell-Dilaton Black Holes in D DimensionsJan 24, 2025Towards Efficient Multi-Objective Optimisation for Real-World Power Grid Topology ControlFeb 12, 2025Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology ControlMar 2, 2021Learning to run a Power Network Challenge: a Retrospective AnalysisMay 6, 2006Charged Rotating Black Holes in Odd DimensionsMay 2, 2016Higher-order approximations of the residual-mean eddy streamfunction and the quasi-Stokes streamfunctionOct 14, 2015Effects of Drake Passage on a strongly eddying global oceanMay 6, 2014Deep ocean early warning signals of an Atlantic MOC collapse