We provide a new fast computationally cheap scenario tree reduction procedure and describe its approximation capabilities. Our context is the stochastic Unit ...

We provide a new fast computationally cheap scenario tree reduction procedure and describe its approximation capabilities. Our context is the stochastic Unit ...

The scenario reduction step is aimed often at optimal approximation of the underlying stochastic process. We provide a new fast computationally cheap scenario ...

To select a small set of sequences representing the stochastic process well enough, this work employs two variants of the Scenario Optimal Reduction ...

Ali Koc, Soumyadip Ghosh: Optimal scenario tree reductions for the stochastic unit commitment problem. WSC 2012: 10:1-10:12.

Jun 10, 2024 · In this paper, a new solution procedure based on a multi-scenario tree method (MSTM) is presented and applied to the proposed stochastic UC ...

Scenario reduction is an important way for scenario generation. The concept of scenario reduction was pioneered by Dupacova, et. al (2003), who put forth the ...

Dedicated scenario generation & reduction techniques (SGT &. SRT) have been developed to generate and select scenario sets that capture the uncertain parameter, ...

Another way to formulate this problem is to adopt stochastic programming models where the uncertainty of renewable generation is modeled as weighted scenarios, ...

Other ideas to reduce the computational burden rely on combining adaptive partitioning of scenarios with regularization techniques from convex optimization, ...