Recent Progress in Two-stage Mixed-integer Stochastic Programming with Applications to Power Production Planning

We present recent developments in two-stage mixed-integer stochastic programming with regard to application in power production planning. In particular, we review structural properties, stability issues, scenario reduction, and decomposition algorithms for two-stage models. Furthermore, we describe an application to stochastic thermal unit commitment.

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