Stochastic programming in energy
AbstractWe give the reader a tour of good energy optimization models that explicitly deal with uncertainty. The uncertainty usually stems from unpredictability of demand and/or prices of energy, or from resource availability and prices. Since most energy investments or operations involve irreversible decisions, a stochastic programming approach is meaningful. Many of the models deal with electricity investments and operations, but some oil and gas applications are also presented. We consider both traditional cost minimization models and newer models that reflect industry deregulation processes. The oldest research coincides with the birth of linear programming, and most models within the market paradigm have not yet found their final form.
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Bibliographic InfoPaper provided by EconWPA in its series GE, Growth, Math methods with number 0201001.
Length: 1 pages
Date of creation: 08 Jan 2002
Date of revision: 13 Nov 2003
Note: Type of Document - Acrobat PDF; pages: 1. Published in "Stochastic Programming", A. Ruszczynksi and A. Shapiro (eds), Vol. 10 in the series Handbooks in Operations Research and Management Science, North-Holland, 2003
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stochastic programming; energy; regulated markets; deregulation; uncertainty; electricity; natural gas; oil;
Find related papers by JEL classification:
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
- Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
This paper has been announced in the following NEP Reports:
- NEP-ALL-2002-01-22 (All new papers)
- NEP-ENE-2002-01-22 (Energy Economics)
- NEP-MIC-2002-01-22 (Microeconomics)
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