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Learning to run a Power Network Challenge: a Retrospective Analysis.

, , , , , , , , , and . NeurIPS (Competition and Demos), volume 133 of Proceedings of Machine Learning Research, page 112-132. PMLR, (2020)

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LEAP nets for system identification and application to power systems., , , , , , and . Neurocomputing, (2020)LEAP nets for power grid perturbations., , , , , , and . ESANN, (2019)Creating StoryLines: Participatory Design with Power Grid Operators., , and . CHIRA (2), volume 1997 of Communications in Computer and Information Science, page 212-230. Springer, (2023)Anticipating contingengies in power grids using fast neural net screening., , , , and . IJCNN, page 1-8. IEEE, (2018)Preserving the Separation of Concerns while Composing Aspects with Reflective AOP. Université Libre De Bruxelles, PhD Thesis, (October 2011)AI Competitions and Benchmarks: towards impactful challenges with post-challenge papers, benchmarks and other dissemination actions., , and . CoRR, (2023)Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents., , , , and . CoRR, (2023)A DSL to declare aspect execution order., and . DSAL@AOSD, page 7:1-7:5. ACM, (2008)Guided Machine Learning for Power Grid Segmentation., , , and . ISGT Europe, page 1-6. IEEE, (2018)Composing aspects with aspects., and . AOSD, page 157-168. ACM, (2010)