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“This book is to address the topic of complementarity modeling to make these modeling approaches widely accessible to a larger audience. ... I strongly recommend it for energy practitioners and researchers in energy market modeling ... . I am convinced that they are a fruitful and challenging area of research, which will serve as a guide to real-world applications. Therefore, I strongly recommend this book to all modelers in energy systems and markets.” (Dominik Mӧst, Interfaces, Vol. 43 (6), November-December, 2013)
“This monograph represents the first comprehensive overview of electricity, environmental, and natural gas market models through the use of complementarity techniques. ... it provides a wonderful set of examples that are crucial in conveying the material. ... this monograph represents an indispensable and enduring resource for any serious researcher in energy markets.” (Uday V. Shanbhag, Mathematical Reviews, October, 2013)„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
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Buchbeschreibung Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9781489986757
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Buchbeschreibung Zustand: New. New! This book is in the same immaculate condition as when it was published. Bestandsnummer des Verkäufers 353-1489986758-new
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Buchbeschreibung Soft Cover. Zustand: new. Bestandsnummer des Verkäufers 9781489986757
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Buchbeschreibung Zustand: 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. Bestandsnummer des Verkäufers 4212903
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Buchbeschreibung Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9781489986757
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Buchbeschreibung Paperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. Bestandsnummer des Verkäufers C9781489986757
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