A projected stochastic gradient descent algorithm with primal-dual framework solves two-stage power system planning under uncertainty and yields lower simulated costs than perfect-foresight models.
arXiv preprint arXiv:2603.00394 , year=
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Uncertainty-aware Power System Planning via Gradient Descent
A projected stochastic gradient descent algorithm with primal-dual framework solves two-stage power system planning under uncertainty and yields lower simulated costs than perfect-foresight models.