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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
A Scenario Tree-Based Decomposition for Solving Multistage Stochastic Programs: With Application in Energy Production

A Scenario Tree-Based Decomposition for Solving Multistage Stochastic Programs: With Application in Energy Production

Mahlke, Debora

Paperback

Series: Stochastic Programming

Probability & Statistics

ISBN10: 3834814091
ISBN13: 9783834814098
Publisher: Springer Nature
Published: Oct 27 2010
Pages: 182
Weight: 0.55
Height: 0.43 Width: 5.83 Depth: 8.27
Language: English
Optimization problems involving uncertain data arise in many areas of industrial and economic applications. Stochastic programming provides a useful framework for modeling and solving optimization problems for which a probability distribution of the unknown parameters is available.
Motivated by practical optimization problems occurring in energy systems with regenerative energy supply, Debora Mahlke formulates and analyzes multistage stochastic mixed-integer models. For their solution, the author proposes a novel decomposition approach which relies on the concept of splitting the underlying scenario tree into subtrees. Based on the formulated models from energy production, the algorithm is computationally investigated and the numerical results are discussed.

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