9781489986757 - Complementarity Modeling in Energy Markets: 180 (international Series in Operations Research & Management Science, 180) by Gabriel, Steven A.; Conejo, Antonio J.; Fuller, J. David; Hobbs, Benjamin F.; Ruiz, Carlos (11 results)
Language: English
Published by Springer, 2014
Series: Book 157 of 323 - International Series in Operations Research & Management Science
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Language: English
Published by Springer, 2014
Series: Book 157 of 323 - International Series in Operations Research & Management Science
- Softcover
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Taschenbuch. Condition: Neu. Complementarity Modeling in Energy Markets | Steven A. Gabriel (u. a.) | Taschenbuch | International Series in Operations Research & Management Science | xxvi | Englisch | 2014 | Springer | EAN 9781489986757 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelber…g, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Language: English
Published by Springer, Humana, 2014
Series: Book 157 of 323 - International Series in Operations Research & Management Science
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This addition to the ISOR series introduces complementarity models in a straightforward and approachable manner and uses them to carry out an in-depth analysis of energy markets, including formulation issues and solution techniques. In a nutshell,…complementarity models generalize: a. optimization problems via their Karush-Kuhn-Tucker conditions b. on-cooperative games in which each player may be solving a separate but related optimization problem with potentially overall system constraints (e.g., market-clearing conditions) c. conomic and engineering problems that aren't specifically derived from optimization problems (e.g., spatial price equilibria) d. roblems in which both primal and dual variables (prices) appear in the original formulation (e.g., The National Energy Modeling System (NEMS) or its precursor, PIES). As such, complementarity models are a very general and flexible modeling format. A natural question is why concentrate on energy markets for this complementarity approach s it turns out, energy or other markets that have game theoretic aspects are best modeled by complementarity problems. The reason is that the traditional perfect competition approach no longer applies due to deregulation and restructuring of these markets and thus the corresponding optimization problems may no longer hold. Also, in some instances it is important in the original model formulation to involve both primal variables (e.g., production) as well as dual variables (e.g., market prices) for public and private sector energy planning. Traditional optimization problems can not directly handle this mixing of primal and dual variables but complementarity models can and this makes them all that more effective for decision-makers.
Complementarity Modeling in Energy Markets
Gabriel, Steven A.; Conejo, Antonio J.; Fuller, J. David; Hobbs, Benjamin F.; Ruiz, Carlos
Language: English
Published by Springer, 2014
Series: Book 157 of 323 - International Series in Operations Research & Management Science
- Softcover
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Language: English
Published by Springer, 2014
Series: Book 157 of 323 - International Series in Operations Research & Management Science
- Softcover
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Language: English
Published by Springer, Humana Aug 2014, 2014
Series: Book 157 of 323 - International Series in Operations Research & Management Science
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This addition to the ISOR series introduces complementarity models in a straightforward and approachable manner and uses them to carry out an in-depth analysis of energy markets, including formulation issues and solution techniques.… In a nutshell, complementarity models generalize: a. optimization problems via their Karush-Kuhn-Tucker conditions b. on-cooperative games in which each player may be solving a separate but related optimization problem with potentially overall system constraints (e.g., market-clearing conditions) c. conomic and engineering problems that aren't specifically derived from optimization problems (e.g., spatial price equilibria) d. roblems in which both primal and dual variables (prices) appear in the original formulation (e.g., The National Energy Modeling System (NEMS) or its precursor, PIES). As such, complementarity models are a very general and flexible modeling format. A natural question is why concentrate on energy markets for this complementarity approach s it turns out, energy or other markets that have game theoretic aspects are best modeled by complementarity problems. The reason is that the traditional perfect competition approach no longer applies due to deregulation and restructuring of these markets and thus the corresponding optimization problems may no longer hold. Also, in some instances it is important in the original model formulation to involve both primal variables (e.g., production) as well as dual variables (e.g., market prices) for public and private sector energy planning. Traditional optimization problems can not directly handle this mixing of primal and dual variables but complementarity models can and this makes them all that more effective for decision-makers. 656 pp. Englisch.
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Complementarity Modeling in Energy Markets
Steven A. Gabriel|Antonio J. Conejo|J. David Fuller|Benjamin F. Hobbs|Carlos Ruiz
Language: English
Published by Springer New York, 2014
Series: Book 157 of 323 - International Series in Operations Research & Management Science
- Softcover
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A very readable expository approach appropriated for students, researchers and practitionersFirst book to specifically apply complementarity models to energy marketsGabriel and Conejo are two huge leaders in the.
Language: English
Published by Springer-Verlag New York Inc., 2014
Series: Book 157 of 323 - International Series in Operations Research & Management Science
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Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Language: English
Published by Springer, 2014
Series: Book 157 of 323 - International Series in Operations Research & Management Science
- Softcover
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Condition: New. Print on Demand pp. 656 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Language: English
Published by Springer, Humana Aug 2014, 2014
Series: Book 157 of 323 - International Series in Operations Research & Management Science
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This addition to the ISOR series introduces complementarity models in a straightforward and approachable manner and uses them to carry out an in-depth analysis of energy markets, including formulation issues and solution techniques. In…a nutshell, complementarity models generalize: a. optimization problems via their Karush-Kuhn-Tucker conditions b. on-cooperative games in which each player may be solving a separate but related optimization problem with potentially overall system constraints (e.g., market-clearing conditions) c. conomic and engineering problems that aren¿t specifically derived from optimization problems (e.g., spatial price equilibria) d. roblems in which both primal and dual variables (prices) appear in the original formulation (e.g., The National Energy Modeling System (NEMS) or its precursor, PIES). As such, complementarity models are a very general and flexible modeling format. A natural question is why concentrate on energy markets for this complementarity approach s it turns out, energy or other markets that have game theoretic aspects are best modeled by complementarity problems. The reason is that the traditional perfect competition approach no longer applies due to deregulation and restructuring of these markets and thus the corresponding optimization problems may no longer hold. Also, in some instances it is important in the original model formulation to involve both primal variables (e.g., production) as well as dual variables (e.g., market prices) for public and private sector energy planning. Traditional optimization problems can not directly handle this mixing of primal and dual variables but complementarity models can and this makes them all that more effective for decision-makers.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 656 pp. Englisch.
Language: English
Published by Springer, 2014
Series: Book 157 of 323 - International Series in Operations Research & Management Science
- Softcover
- Print on Demand
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Condition: New. PRINT ON DEMAND pp. 656.
