rothkopf michael h (26 risultati)

Hardcover. Condizione: Brand New. 1st edition. 740 pages. 9.75x7.00x1.75 inches. In Stock.

Condizione: New. In.

Condizione: New. In.

Taschenbuch. Condizione: 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.

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.

Condizione: New. pp. 332.

Condizione: New. pp. 332.

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): 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. . . . .

Taschenbuch. 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. 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.

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. 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.

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

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): 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. Condizione: gut. 2001. The Next Generation of Electric Power Unit Commitment Models In deutscher Sprache. pages.

Encuadernación de tapa blanda. Condizione: Muy bien. Condizione sovraccoperta: Muy bien. Issue edited by Tim Griffin. Essays "Passages: Ann Temkin on Walter Hopps," by Ann Temkin; "Books: Richard Meyer on 'Art Since 1900,'" by Richard Meyer; "On Site: Rachel Harrison on Paul McCarthy," by Rachel Harrison; "Film: Geoffrey O'Brien on Alexander Mackendrick," by Geoffrey O'Brien; "Film: Jonathan Romney on Lodge Kerrigan," by Jonathan Romney; "Slant: Robert Storr on Ron Gorchov," by Robert Storr; "Slant: Svetlana Alpers on the Life of Painting," by Svetlana Alpers; "Top Ten," by Donald Urquhart; "Fall 2005 Exhibitions: 50 Shows Worldwide"; "US News: Elizabeth Schambelan on PERFORMA05," by Elizabeth Schambelan; "From the Vault: Stephen J. Campbell on Fra Angelico," by Stephen J. Campbell; "On the Road: Traveling Exhibitions"; "International News: Miriam Rosen on the Cinémathèque Française," by Miriam Rosen; "The Curse of Empire," by Benjamin H.D. Buchloh; "Palazzo Intrigue," by Scott Rothkopf; "Candide Cameras," by Elisabeth Sussman; "Dawn 'til Dusk," by Daniel Birnbaum; "Stealing the Show," by Alison M. Gingeras; "Debt Collectors," by Anne Pontégnie; "On 'The Matter of Time': Richard Serra at Bilbao," by Hal Foster; "1000 Words: Christoph Büchel & Giovanni Carmine," by Marc Spiegler; "From the Critique of Institutions to an Institution of Critique," by Andrea Fraser; "Frames of Mind: The Films of Robert Beavers," by Henriette Huldisch and Chrissie Iles; "Openings: Dave McKenzie," by Glenn Ligon. Reviews by Elizabeth Schambelan, Carol Armstrong, Brigid Doherty, Carroll Dunham, Ryan Holmberg, Lisa Pasquariello, Johanna Burton, Nico Israel, Jan Avgikos, David Frankel, Frances Richard, Martha Schwendener, Donald Kuspit, Nell McClister, Suzanne Hudson, Margaret Sundell, Michael Wilson, Brian Sholis, Emily Hall, Larissa Harris, David Carrier, James Yood, Julie Caniglia, Michael Odom, Glen Helfand, Bruce Hainley, Jan Tumlir, Christopher Miles, Michael Ned Holte, Maria Gainza, Filippo Romeo, Giorgio Verzotti, Alessandra Pioselli, Barry Schwabsky, Hans Rudolf Reust, Felicity Lunn, Sabine B. Vogel, Gregory Williams, Jennifer Allen, Noemi Smolik, Liutauras Psibilskis. Cover: Ed Ruscha.

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

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 dollars in fuel costs. Things are changing, however. O.

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 dollars in fuel costs. Things are changing, however. O.

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 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.

Taschenbuch. 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 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.

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 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

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.

Taschenbuch. 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.

Condizione: New. Print on Demand pp. 332 Illus.

Condizione: New. Print on Demand pp. 332 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

Condizione: New. PRINT ON DEMAND pp. 332.

Condizione: New. PRINT ON DEMAND pp. 332.