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Electrical Power Unit Commitment: Deterministic and Two-Stage Stochastic Programming Models and Algorithms (SpringerBriefs in Energy) - Tapa blanda
Sinopsis
<P>THIS VOLUME IN THE SPRINGERBRIEFS IN ENERGY SERIES OFFERS A SYSTEMATIC REVIEW OF UNIT COMMITMENT (UC) PROBLEMS IN ELECTRICAL POWER GENERATION. IT UPDATES TEXTS WRITTEN IN THE LATE 1990S AND EARLY 2000S BY INCLUDING THE FUNDAMENTALS OF BOTH UC AND STATE-OF-THE-ART MODELING AS WELL AS SOLUTION ALGORITHMS AND HIGHLIGHTING STOCHASTIC MODELS AND MIXED-INTEGER PROGRAMMING TECHNIQUES.</P> <P>THE UC PROBLEMS ARE MOSTLY FORMULATED AS MIXED-INTEGER LINEAR PROGRAMS, ALTHOUGH THERE ARE MANY VARIANTS. A NUMBER OF ALGORITHMS HAVE BEEN DEVELOPED FOR, OR APPLIED TO, UC PROBLEMS, INCLUDING DYNAMIC PROGRAMMING, LAGRANGIAN RELAXATION, GENERAL MIXED-INTEGER PROGRAMMING ALGORITHMS, AND BENDERS DECOMPOSITION. IN ADDITION THE BOOK DISCUSSES THE RECENT TRENDS IN SOLVING UC PROBLEMS, ESPECIALLY STOCHASTIC PROGRAMMING MODELS, AND ADVANCED TECHNIQUES TO HANDLE LARGE NUMBERS OF INTEGER- DECISION VARIABLES DUE TO SCENARIO PROPAGATION</P>
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Críticas
“A short, carefully written and accessible text, despite the mathematical complexity, the reader is provided with a comprehensive view of the problem allowing to quickly reach know-how in the handling of various models and algorithms aiming to formulate and reach solutions for it. Obviously interesting for both academics and practitioners in energy production and planning domains.” ( Manuel Alberto M. Ferreira, Acta Scientiae et Intellectus, Vol. 4 (04), 2018)
Reseña del editor
This volume in the SpringerBriefs in Energy series offers a systematic review of unit commitment (UC) problems in electrical power generation. It updates texts written in the late 1990s and early 2000s by including the fundamentals of both UC and state-of-the-art modeling as well as solution algorithms and highlighting stochastic models and mixed-integer programming techniques.
The UC problems are mostly formulated as mixed-integer linear programs, although there are many variants. A number of algorithms have been developed for, or applied to, UC problems, including dynamic programming, Lagrangian relaxation, general mixed-integer programming algorithms, and Benders decomposition. In addition the book discusses the recent trends in solving UC problems, especially stochastic programming models, and advanced techniques to handle large numbers of integer- decision variables due to scenario propagation
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- EditorialSpringer
- Año de publicación2017
- ISBN 10 1493967665
- ISBN 13 9781493967667
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas104
EUR 18,31
EUR 8,88 gastos de envío desde Canada a Estados Unidos de America
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EUR 63,63
EUR 3,55 gastos de envío en Estados Unidos de America
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Electrical Power Unit Commitment: Deterministic and Two-Stage Stochastic Programming Models and Algorithms (SpringerBriefs in Energy)
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Electrical Power Unit Commitment: Deterministic and Two-Stage Stochastic Programming Models and Algorithms (SpringerBriefs in Energy)
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Electrical Power Unit Commitment : Deterministic and Two-Stage Stochastic Programming Models and Algorithms
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Electrical Power Unit Commitment: Deterministic and Two-Stage Stochastic Programming Models and Algorithms (SpringerBriefs in Energy)
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Electrical Power Unit Commitment
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SPRINGER NATURE Jan 2017, 2017
ISBN 10: 1493967665
ISBN 13: 9781493967667
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume in the SpringerBriefs in Energy series offers a systematic review of unit commitment (UC) problems in electrical power generation. It updates texts written in the late 1990s and early 2000s by including the fundamentals of both UC and state-of-the-art modeling as well as solution algorithms and highlighting stochastic models and mixed-integer programming techniques.The UC problems are mostly formulated as mixed-integer linear programs, although there are many variants. A number of algorithms have been developed for, or applied to, UC problems, including dynamic programming, Lagrangian relaxation, general mixed-integer programming algorithms, and Benders decomposition. In addition the book discusses the recent trends in solving UC problems, especially stochastic programming models, and advanced techniques to handle large numbers of integer- decision variables due to scenario propagation 93 pp. Englisch. Nº de ref. del artículo: 9781493967667
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Electrical Power Unit Commitment: Deterministic and Two-Stage Stochastic Programming Models and Algorithms
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Springer-Verlag New York Inc., 2017
ISBN 10: 1493967665
ISBN 13: 9781493967667
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Electrical Power Unit Commitment : Deterministic and Two-Stage Stochastic Programming Models and Algorithms
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume in the SpringerBriefs in Energy series offers a systematic review of unit commitment (UC) problems in electrical power generation. It updates texts written in the late 1990s and early 2000s by including the fundamentals of both UC and state-of-the-art modeling as well as solution algorithms and highlighting stochastic models and mixed-integer programming techniques.The UC problems are mostly formulated as mixed-integer linear programs, although there are many variants. A number of algorithms have been developed for, or applied to, UC problems, including dynamic programming, Lagrangian relaxation, general mixed-integer programming algorithms, and Benders decomposition. In addition the book discusses the recent trends in solving UC problems, especially stochastic programming models, and advanced techniques to handle large numbers of integer- decision variables due to scenario propagation. Nº de ref. del artículo: 9781493967667
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Electrical Power Unit Commitment: Deterministic and Two-stage Stochastic Programming Models and Algorithms
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Is the first book since the early 2000s to focus on emerging trends in UC problemsFocuses on stochastic programming models and advanced techniques to handle large numbers of integer decision variables due to scenario propagationThis vol. Nº de ref. del artículo: 130359581
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Electrical Power Unit Commitment: Deterministic and Two-Stage Stochastic Programming Models and Algorithms (SpringerBriefs in Energy)
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