9780792373346 - the next generation of electric power unit commitment models: 36 (18 risultati)
Next Generation of Electric Power Unit Commitment Models
Hobbs, Benjamin F. (EDT); Rothkopf, Michael H. (EDT); O'Neill, Richard P. (EDT); Chao, Hung-Po (EDT); Workshop on the Next Generation of Unit Commitment Models (COR)
Lingua: Inglese
Editore: Springer, 2001
Serie: Libro 30 di 323 - International Series in Operations Research & Management Science
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Next Generation of Electric Power Unit Commitment Models
Hobbs, Benjamin F. (EDT); Rothkopf, Michael H. (EDT); O'Neill, Richard P. (EDT); Chao, Hung-Po (EDT); Workshop on the Next Generation of Unit Commitment Models (COR)
Lingua: Inglese
Editore: Springer, 2001
Serie: Libro 30 di 323 - International Series in Operations Research & Management Science
- Rilegato
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Next Generation of Electric Power Unit Commitment Models
Hobbs, Benjamin F. (EDT); Rothkopf, Michael H. (EDT); O'Neill, Richard P. (EDT); Chao, Hung-Po (EDT); Workshop on the Next Generation of Unit Commitment Models (COR)
Lingua: Inglese
Editore: Springer, 2001
Serie: Libro 30 di 323 - International Series in Operations Research & Management Science
- Rilegato
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Lingua: Inglese
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Serie: Libro 30 di 323 - International Series in Operations Research & Management Science
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Condizione: Gut. Zustand: Gut | Seiten: 332 | Sprache: Englisch | Produktart: Bücher | Over the years, the electric power industry has been using optimization methods to help them solve the unit commitment problem. The result has been savings of tens and perhaps hundreds of millions of dollars in fuel costs. Things are changing,… however. Optimization technology is improving, and the industry is undergoing radical restructuring. Consequently, the role of commitment models is changing, and the value of the improved solutions that better algorithms might yield is increasing. The dual purpose of this book is to explore the technology and needs of the next generation of computer models for aiding unit commitment decisions. Because of the unit commitment problem's size and complexity and because of the large economic benefits that could result from its improved solution, considerable attention has been devoted to algorithm development in the book. More systematic procedures based on a variety of widely researched algorithms have been proposed and tested. These techniques have included dynamic programming, branch-and-bound mixed integer programming (MIP), linear and network programming approaches, and Benders decomposition methods, among others. Recently, metaheuristic methods have been tested, such as genetic programming and simulated annealing, along with expert systems and neural networks. Because electric markets are changing rapidly, how UC models are solved and what purposes they serve need reconsideration. Hence, the book brings together people who understand the problem and people who know what improvements in algorithms are really possible. The two-fold result in The Next Generation of Electric Power Unit Commitment Models is an assessment of industry needs and new formulations and computational approaches that promise to make unit commitment models more responsive to those needs.
Next Generation of Electric Power Unit Commitment Models
Hobbs, Benjamin F. (EDT); Rothkopf, Michael H. (EDT); O'Neill, Richard P. (EDT); Chao, Hung-Po (EDT); Workshop on the Next Generation of Unit Commitment Models (COR)
Lingua: Inglese
Editore: Springer, 2001
Serie: Libro 30 di 323 - International Series in Operations Research & Management Science
- Rilegato
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Condizione: New. pp. 332.
The Next Generation of Electric Power Unit Commitment Models
. Ed(s): Hobbs, Benjamin F.; Rothkopf, Michael H.; Chao, Hung-Po; O'Neill, Richard P.
Lingua: Inglese
Editore: Kluwer Academic Publishers, 2001
Serie: Libro 30 di 323 - International Series in Operations Research & Management Science
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Condizione: New. As optimization technology improves, the electric power industry is undergoing radical restructuring, and the role of commitment models is changing. The dual purpose of this book is to explore the technology and needs of the next generation of computer models for aiding unit commitment decisions. Editor(s): Hobb…s, Benjamin F.; Rothkopf, Michael H.; Chao, Hung-Po; O'Neill, Richard P. Series: International Series in Operations Research & Management Science. Num Pages: 328 pages, biography. BIC Classification: KC; KNBL; RNF. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 19. Weight in Grams: 642. . 2001. Hardback. . . . .
Lingua: Inglese
Editore: Springer, Springer, 2001
Serie: Libro 30 di 323 - International Series in Operations Research & Management Science
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Over the years, the electric power industry has been using optimization methods to help them solve the unit commitment problem. The result has been savings of tens and perhaps hundreds of millions of dollars in fuel costs. Things are changing, however. O…ptimization technology is improving, and the industry is undergoing radical restructuring. Consequently, the role of commitment models is changing, and the value of the improved solutions that better algorithms might yield is increasing. The dual purpose of this book is to explore the technology and needs of the next generation of computer models for aiding unit commitment decisions. Because of the unit commitment problem's size and complexity and because of the large economic benefits that could result from its improved solution, considerable attention has been devoted to algorithm development in the book. More systematic procedures based on a variety of widely researched algorithms have been proposed and tested. These techniques have included dynamic programming, branch-and-bound mixed integer programming (MIP), linear and network programming approaches, and Benders decomposition methods, among others. Recently, metaheuristic methods have been tested, such as genetic programming and simulated annealing, along with expert systems and neural networks. Because electric markets are changing rapidly, how UC models are solved and what purposes they serve need reconsideration. Hence, the book brings together people who understand the problem and people who know what improvements in algorithms are really possible. The two-fold result in The Next Generation of Electric Power Unit Commitment Models is an assessment of industry needs and new formulations and computational approaches that promise to make unit commitment models more responsive to those needs.
The Next Generation of Electric Power Unit Commitment Models
. Ed(s): Hobbs, Benjamin F.; Rothkopf, Michael H.; Chao, Hung-Po; O'Neill, Richard P.
Lingua: Inglese
Editore: Kluwer Academic Publishers, 2001
Serie: Libro 30 di 323 - International Series in Operations Research & Management Science
- Rilegato
Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Condizione: New. As optimization technology improves, the electric power industry is undergoing radical restructuring, and the role of commitment models is changing. The dual purpose of this book is to explore the technology and needs of the next generation of computer models for aiding unit commitment decisions. Editor(s): Hobb…s, Benjamin F.; Rothkopf, Michael H.; Chao, Hung-Po; O'Neill, Richard P. Series: International Series in Operations Research & Management Science. Num Pages: 328 pages, biography. BIC Classification: KC; KNBL; RNF. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 19. Weight in Grams: 642. . 2001. Hardback. . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: Springer US, 2001
Serie: Libro 30 di 323 - International Series in Operations Research & Management Science
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Da: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, GermaniaBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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Hardcover. Condizione: gut. 2001. The Next Generation of Electric Power Unit Commitment Models In englischer Sprache. pages.
The Next Generation of Electric Power Unit Commitment Models
Hobbs, Benjamin F.|Rothkopf, Michael H.|O\'Neill, Richard P.|Hung-po Chao
Lingua: Inglese
Editore: Springer US, 2001
Serie: Libro 30 di 323 - International Series in Operations Research & Management Science
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Over the years, the electric power industry has been using optimization methods to help them solve the unit commitment problem. The result has been savings of tens and perhaps hundreds of millions of dollar…s in fuel costs. Things are changing, however. O.
Lingua: Inglese
Editore: Springer US Apr 2001, 2001
Serie: Libro 30 di 323 - International Series in Operations Research & Management Science
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Over the years, the electric power industry has been using optimization methods to help them solve the unit commitment problem. The result has been savings of tens and perhaps hundreds of millions of dollars in fuel costs. Things are chan…ging, however. Optimization technology is improving, and the industry is undergoing radical restructuring. Consequently, the role of commitment models is changing, and the value of the improved solutions that better algorithms might yield is increasing. The dual purpose of this book is to explore the technology and needs of the next generation of computer models for aiding unit commitment decisions. Because of the unit commitment problem's size and complexity and because of the large economic benefits that could result from its improved solution, considerable attention has been devoted to algorithm development in the book. More systematic procedures based on a variety of widely researched algorithms have been proposed and tested. These techniques have included dynamic programming, branch-and-bound mixed integer programming (MIP), linear and network programming approaches, and Benders decomposition methods, among others. Recently, metaheuristic methods have been tested, such as genetic programming and simulated annealing, along with expert systems and neural networks. Because electric markets are changing rapidly, how UC models are solved and what purposes they serve need reconsideration. Hence, the book brings together people who understand the problem and people who know what improvements in algorithms are really possible. The two-fold result in The Next Generation of Electric Power Unit Commitment Models is an assessment of industry needs and new formulations and computational approaches that promise to make unit commitment models more responsive to those needs. 332 pp. Englisch.
Altre immaginiLingua: Inglese
Editore: Springer, 2001
Serie: Libro 30 di 323 - International Series in Operations Research & Management Science
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Buch. Condizione: Neu. The Next Generation of Electric Power Unit Commitment Models | Benjamin F. Hobbs (u. a.) | Buch | International Series in Operations Research & Management Science | viii | Englisch | 2001 | Springer | EAN 9780792373346 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heid…elberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Lingua: Inglese
Editore: Springer, Springer Apr 2001, 2001
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Over the years, the electric power industry has been using optimization methods to help them solve the unit commitment problem. The result has been savings of tens and perhaps hundreds of millions of dollars in fuel costs. Things are changing…, however. Optimization technology is improving, and the industry is undergoing radical restructuring. Consequently, the role of commitment models is changing, and the value of the improved solutions that better algorithms might yield is increasing. The dual purpose of this book is to explore the technology and needs of the next generation of computer models for aiding unit commitment decisions.Because of the unit commitment problem's size and complexity and because of the large economic benefits that could result from its improved solution, considerable attention has been devoted to algorithm development in the book. More systematic procedures based on a variety of widely researched algorithms have been proposed and tested. These techniques have included dynamic programming, branch-and-bound mixed integer programming (MIP), linear and network programming approaches, and Benders decomposition methods, among others. Recently, metaheuristic methods have been tested, such as genetic programming and simulated annealing, along with expert systems and neural networks. Because electric markets are changing rapidly, how UC models are solved and what purposes they serve need reconsideration. Hence, the book brings together people who understand the problem and people who know what improvements in algorithms are really possible. The two-fold result in The Next Generation of Electric Power Unit Commitment Models is an assessment of industry needs and new formulations and computational approaches that promise to make unit commitment models more responsive to those needs.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 332 pp. Englisch.
Lingua: Inglese
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Condizione: New. Print on Demand pp. 332 Illus.
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Condizione: New. PRINT ON DEMAND pp. 332.
