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Machine Learning for Exact Simplex Basis Prediction: A Discrete Combinatorial Warm-Start for Real-Time DC Optimal Power Flow

https://doi.org/10.2139/ssrn.7593602
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Contingency Ranking With Respect to Overloads in Very Large Power Systems Taking Into Account Uncertainty, Preventive, and Corrective Actions
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Applications of Physics-Informed Neural Networks in Power Systems - A Review
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DeepOPF-FT: One Deep Neural Network for Multiple AC-OPF Problems With Flexible Topology
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End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch
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Joint Chance Constraints in AC Optimal Power Flow: Improving Bounds Through Learning
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DeepOPF-AL: Augmented Learning for Solving AC-OPF Problems with a Multi-Valued Load-Solution Mapping
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