Learning to run a Power Network Challenge: a Retrospective Analysis

2 March 2021

Papers citing "Learning to run a Power Network Challenge: a Retrospective Analysis"

29 / 29 papers shown

Title
On the Definition of Robustness and Resilience of AI Agents for Real-time Congestion Management Timothy Tjhay Ricardo J. Bessa Jose Paulos AAML 29 0 0 17 Apr 2025
RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations Enrico Marchesini Benjamin Donnot Constance Crozier Ian Dytham Christian Merz Lars Schewe Nico Westerbeck Cathy Wu Antoine Marot P. Donti OffRL 57 1 0 29 Mar 2025
Reinforcement learning with combinatorial actions for coupled restless bandits Lily Xu Bryan Wilder Elias B. Khalil Milind Tambe 75 1 0 01 Mar 2025
Robust Defense Against Extreme Grid Events Using Dual-Policy Reinforcement Learning Agents Benjamin M. Peter Mert Korkali 28 0 0 17 Nov 2024
Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization Xiyue Peng Hengquan Guo Jiawei Zhang Dongqing Zou Ziyu Shao Honghao Wei Xin Liu 44 0 0 25 Oct 2024
State and Action Factorization in Power Grids Gianvito Losapio Davide Beretta Marco Mussi Alberto Maria Metelli Marcello Restelli 39 1 0 03 Sep 2024
Imitation Learning for Intra-Day Power Grid Operation through Topology Actions Matthijs de Jong Jan Viebahn Yuliya Shapovalova AI4CE 40 2 0 29 Jul 2024
Reinforcement Learning for Sustainable Energy: A Survey Koen Ponse Felix Kleuker Márton Fejér Álvaro Serra-Gómez Aske Plaat Thomas M. Moerland OffRL AI4CE 40 1 0 26 Jul 2024
Fault Detection for agents on power grid topology optimization: A Comprehensive analysis Malte Lehna Mohamed Hassouna Dmitry Degtyar Sven Tomforde Christoph Scholz AI4CE 28 2 0 24 Jun 2024
HUGO -- Highlighting Unseen Grid Options: Combining Deep Reinforcement Learning with a Heuristic Target Topology Approach Malte Lehna Clara Holzhuter Sven Tomforde Christoph Scholz 42 6 0 01 May 2024
Application-Driven Innovation in Machine Learning David Rolnick Alán Aspuru-Guzik Sara Beery B. Dilkina P. Donti ... Hannah Kerner C. Monteleoni Esther Rolf Milind Tambe Adam White 41 8 0 26 Mar 2024
Blackout Mitigation via Physics-guided RL Anmol Dwivedi Santiago Paternain A. Tajer 18 3 0 17 Jan 2024
Challenge design roadmap Hugo Jair Escalante Isabelle M Guyon Addison Howard Walter Reade Sébastien Treguer AI4TS 28 0 0 15 Jan 2024
Hierarchical Reinforcement Learning for Power Network Topology Control Blazej Manczak Jan Viebahn H. V. Hoof 34 7 0 03 Nov 2023
Multi-Agent Reinforcement Learning for Power Grid Topology Optimization E. V. D. Sar Alessandro Zocca Sandjai Bhulai 32 0 0 04 Oct 2023
Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents Malte Lehna J. Viebahn Christoph Scholz Antoine Marot Sven Tomforde 29 19 0 03 Apr 2023
Reinforcement Learning Based Power Grid Day-Ahead Planning and AI-Assisted Control Anton R. Fuxjäger Kristián Kozák Matthias Dorfer P. Blies Marcel Wasserer 31 2 0 15 Feb 2023
Reinforcement Learning for Resilient Power Grids Zhenting Zhao Po-Yen Chen Yucheng Jin AI4CE 21 4 0 08 Dec 2022
PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks A. Chauhan Mayank Baranwal Ansuma Basumatary 24 14 0 05 Dec 2022
Power Grid Congestion Management via Topology Optimization with AlphaZero Matthias Dorfer Anton R. Fuxjäger Kristián Kozák P. Blies Marcel Wasserer 29 17 0 10 Nov 2022
Climate Change Policy Exploration using Reinforcement Learning Theodore Wolf 23 0 0 23 Oct 2022
Reinforcement learning for Energies of the future and carbon neutrality: a Challenge Design Gaetan Serré Eva Boguslawski Benjamin Donnot Adrien Pavao Isabelle M Guyon Antoine Marot AI4CE 24 9 0 21 Jul 2022
Efficient entity-based reinforcement learning Vince Jankovics Michael Garcia Ortiz Eduardo Alonso OCL OffRL 32 1 0 06 Jun 2022
Massively Digitized Power Grid: Opportunities and Challenges of Use-inspired AI Le Xie Xiangtian Zheng Yannan Sun Tong Huang Tony Bruton AI4CE 35 17 0 10 May 2022
Learning to run a power network with trust Antoine Marot Benjamin Donnot Karim Chaouache Ying-Ling Lu Qiuhua Huang Ramij-Raja Hossain J. Cremer 28 30 0 21 Oct 2021
A Multi-scale Time-series Dataset with Benchmark for Machine Learning in Decarbonized Energy Grids Xiangtian Zheng Nan Xu Loc Trinh Dongqi Wu Tong Huang S. Sivaranjani Yan Liu Le Xie AI4CE 38 43 0 12 Oct 2021
Soft Actor-Critic With Integer Actions Ting-Han Fan Yubo Wang 30 12 0 17 Sep 2021
Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems Laurent Pagnier Michael Chertkov 42 49 0 12 Feb 2021
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning Rongjun Qin Songyi Gao Xingyuan Zhang Zhen Xu Shengkai Huang Zewen Li Weinan Zhang Yang Yu OffRL 140 78 0 01 Feb 2021