Learning-based reactive power dispatch models that work well on synthetic data degrade sharply on a new real-world Uruguay grid dataset, showing tenfold higher errors and frequent constraint violations.
Deepopf: A feasibility- optimized deep neural network approach for ac optimal power flow problems,
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Learning to Optimally Dispatch Power: Performance on a Nation-Wide Real-World Dataset
Learning-based reactive power dispatch models that work well on synthetic data degrade sharply on a new real-world Uruguay grid dataset, showing tenfold higher errors and frequent constraint violations.