Hung H F (39 results)

Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1150grams, ISBN:9780199568093.…

Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean From Markings In good all round condition. Dust jacket in good condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9780231152020.…

Condition: New.

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Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. The Next Generation of Electric Power Unit Commitment Models | Benjamin F. Hobbs (u. a.) | Taschenbuch | International Series in Operations Research & Management Science | viii | Englisch | 2013 | Springer | EAN 9781475774160 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: Brand New. 9.00x6.50x1.25 inches. In Stock.

Condition: New.

Condition: 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.…

Condition: As New. Unread book in perfect condition.

Buch. Condition: 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. 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. …

Condition: 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): Hobbs, 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. . . . .…

Condition: New. pp. 332.

Condition: New. pp. 332.

Paperback. Condition: Brand New. 328 pages. 9.25x6.10x0.80 inches. In Stock.

Condition: 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): Hobbs, 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.…

Hardcover. Condition: gut. 2001. The Next Generation of Electric Power Unit Commitment Models In englischer Sprache. pages.

Condition: New. Dust Jacket Condition: Nuevo.

Condition: New. Dust Jacket Condition: Nuevo.

Soft cover. 1st Edition. Octavo. Pp. 412. Bound in the original printed stiff wrappers. In fine condition. Excellent copy, practically unused. ~ FIRST EDITION. Gesellschaft für Natur- und Völkerkunde Ostasiens e.V., Mitteilungen Band 93. With author's(?) dedication in Korean on title-page. Y-3 IN. ~ ~ NOTE: TOTAL REDUCTION SALE: THE PRICE OF THIS BOOK IS CURRENTLY REDUCED! ~ ~ (illustrator).…

Condition: new. Questo è un articolo print on demand.

Condition: 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 dollars in fuel costs. Things are changing, however. O.…

Gebunden. Condition: 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 dollars in fuel costs. Things are changing, however. O.…

Taschenbuch. Condition: 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 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. 332 pp. Englisch.…