2006-03-31Buch DOI: 10.18452/2981
Scenario tree modelling for multistage stochastic programs
An important issue for solving multistage stochastic programs consists in the approximate representation of the (multivariate) stochastic input process in the form of a scenario tree. In this paper, forward and backward approaches are developed for generating scenario trees out of an initial fan of individual scenarios. Both approaches are motivated by the recent stability result in  for optimal values of multistage stochastic programs. They are based on upper bounds for the two relevant ingredients of the stability estimate, namely, the probabilistic and the ﬁltration distance, respectively. These bounds allow to control the process of recursive scenario reduction  and branching. Numerical experience is reported for constructing multivariate scenario trees in electricity portfolio management.
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