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Two-Stage ML-Guided Decision Rules for Sequential Decision Making under Uncertainty
The method inherits the flexibility and computational performance of Deep Learning methodologies to solve SDMU problems generally tackled through large-scale optimization techniques.
Learning Optimal Power Flow Value Functions with Input-Convex Neural Networks
The Optimal Power Flow (OPF) problem is integral to the functioning of power systems, aiming to optimize generation dispatch while adhering to technical and operational constraints.
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