A neural network approximates recourse costs in two-stage stochastic unit commitment, is embedded as an MILP, and uses a scenario-embedding network for scalable solving with low optimality gaps.
Solving two-stage robust optimization problems using a column-and-constraint generation method,
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Neural Two-Stage Stochastic Optimization for Solving Unit Commitment Problem
A neural network approximates recourse costs in two-stage stochastic unit commitment, is embedded as an MILP, and uses a scenario-embedding network for scalable solving with low optimality gaps.