On a Sampling-based Decomposition Algorithm Applied to Hydrothermal Scheduling: Solution Quality and Bounds
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In this talk, we present a sampling-based decomposition algorithm (SBDA) to be applied to solve the multi-stage stochastic optimization problem version of the hydro-scheduling problem. We also present a procedure to assess the solution quality with respect to the true problem in a multi-stage setting.