Neural network surrogates approximate expected operational costs in multistage stochastic TEP, delivering near-optimal investment plans with up to 13x faster computation on IEEE test systems.
Multi-Stage Integrated Transmission and Distribution Expansion Planning Under Uncertainties With Smart In- vestment Options,
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Learning a Non-linear Surrogate Model for Multistage Stochastic Transmission Planning
Neural network surrogates approximate expected operational costs in multistage stochastic TEP, delivering near-optimal investment plans with up to 13x faster computation on IEEE test systems.