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Stochastic programming models in energy

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Stochastic programming models in energy. / Wallace, Stein W; Fleten, Stein-Erik.
Stochastic Programming . London, New York and Amsterdam: Elsevier, 2003. p. 637-677 ((Handbooks in Operations Research and Management Science)).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Harvard

Wallace, SW & Fleten, S-E 2003, Stochastic programming models in energy. in Stochastic Programming . (Handbooks in Operations Research and Management Science), Elsevier, London, New York and Amsterdam, pp. 637-677. https://doi.org/10.1016/S0927-0507(03)10010-2

APA

Wallace, S. W., & Fleten, S.-E. (2003). Stochastic programming models in energy. In Stochastic Programming (pp. 637-677). ((Handbooks in Operations Research and Management Science)). Elsevier. https://doi.org/10.1016/S0927-0507(03)10010-2

Vancouver

Wallace SW, Fleten SE. Stochastic programming models in energy. In Stochastic Programming . London, New York and Amsterdam: Elsevier. 2003. p. 637-677. ((Handbooks in Operations Research and Management Science)). doi: 10.1016/S0927-0507(03)10010-2

Author

Wallace, Stein W ; Fleten, Stein-Erik. / Stochastic programming models in energy. Stochastic Programming . London, New York and Amsterdam : Elsevier, 2003. pp. 637-677 ((Handbooks in Operations Research and Management Science)).

Bibtex

@inbook{95b1601de5b043ab9a56cda1200a542e,
title = "Stochastic programming models in energy",
abstract = "We 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 precedes the development of linear programming, and most models within the market paradigm have not yet found their final form.",
keywords = "Stochastic programming, energy , regulated markets , deregulation , uncertainty , electricity , natural gas , oil",
author = "Wallace, {Stein W} and Stein-Erik Fleten",
year = "2003",
doi = "10.1016/S0927-0507(03)10010-2",
language = "English",
isbn = "9780444508546",
series = "(Handbooks in Operations Research and Management Science)",
publisher = "Elsevier",
pages = "637--677",
booktitle = "Stochastic Programming",

}

RIS

TY - CHAP

T1 - Stochastic programming models in energy

AU - Wallace, Stein W

AU - Fleten, Stein-Erik

PY - 2003

Y1 - 2003

N2 - We 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 precedes the development of linear programming, and most models within the market paradigm have not yet found their final form.

AB - We 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 precedes the development of linear programming, and most models within the market paradigm have not yet found their final form.

KW - Stochastic programming

KW - energy

KW - regulated markets

KW - deregulation

KW - uncertainty

KW - electricity

KW - natural gas

KW - oil

U2 - 10.1016/S0927-0507(03)10010-2

DO - 10.1016/S0927-0507(03)10010-2

M3 - Chapter

SN - 9780444508546

T3 - (Handbooks in Operations Research and Management Science)

SP - 637

EP - 677

BT - Stochastic Programming

PB - Elsevier

CY - London, New York and Amsterdam

ER -