Recent progress in two-stage mixed-integer stochastic programming with applications to power production planning

Abstract

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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