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Scheduling of Power Generation: A Large-Scale Mixed-Variable Model (Springer Series in Operations Research and Financial Engineering) - Hardcover

 
9783319078144: Scheduling of Power Generation: A Large-Scale Mixed-Variable Model (Springer Series in Operations Research and Financial Engineering)

Synopsis

The book contains description of a real life application of modern mathematical optimization tools in an important problem solution for power networks. The objective is the modelling and calculation of optimal daily scheduling of power generation, by thermal power plants,  to satisfy all demands at minimum cost, in such a way that the  generation and transmission capacities as well as the demands at the nodes of the system appear in an integrated form. The physical parameters of the network are also taken into account. The obtained large-scale mixed variable problem is relaxed in a smart, practical way, to allow for fast numerical solution of the problem.

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About the Author

Prof. András Prékopa is a Professor at Rutgers University in the Department of Statistics.

Prof. János Mayer is a Professor at University of Zurich in the Department of Business Adminstration.

Prof. Beáta Strazicky is currently retired but was a Professor at Szent István University.

Prof. István Deák is a Professor at Corvinus University of Budapest in the Department of Computer Science.

János Hoffer works at Allianz Hungária Insurance Company in the IT Quality Assurance Section.

Ágoston Németh works in Ex-Lh Ltd.

Béla Potecz is retired but previously worked for MAVIR Hungarian Independent Transmission Operator Company Ltd.

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  • PublisherSpringer
  • Publication date2014
  • ISBN 10 3319078143
  • ISBN 13 9783319078144
  • BindingHardcover
  • Number of pages150

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9783319361130: Scheduling of Power Generation: A Large-Scale Mixed-Variable Model (Springer Series in Operations Research and Financial Engineering)

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ISBN 10: 3319078143 ISBN 13: 9783319078144
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235 mm x 155 mm. XI, 139 p., Ill. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped. Springer Series in Operations Research and Financial Engineering. Sprache: Englisch. Seller Inventory # 32026AB

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András Prékopa, János Mayer, Beáta Strazicky, Béla Potecz, János Hoffer, Ágoston Németh, István Deák
ISBN 10: 3319078143 ISBN 13: 9783319078144
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Condition: Sehr gut. Zustand: Sehr gut - Buchschnitt verkürzt - gepflegter, sauberer Zustand - Ausgabejahr 2014 | Seiten: 152 | Sprache: Englisch | Produktart: Bücher. Seller Inventory # 24843431/12

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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book contains description of a real life application of modern mathematical optimization tools in an important problem solution for power networks. The objective is the modelling and calculation of optimal daily scheduling of power generation, by thermal power plants, to satisfy all demands at minimum cost, in such a way that the generation and transmission capacities as well as the demands at the nodes of the system appear in an integrated form. The physical parameters of the network are also taken into account. The obtained large-scale mixed variable problem is relaxed in a smart, practical way, to allow for fast numerical solution of the problem. 152 pp. Englisch. Seller Inventory # 9783319078144

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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book contains description of a real life application of modern mathematical optimization tools in an important problem solution for power networks. The objective is the modelling and calculation of optimal daily scheduling of power generation, by thermal power plants, to satisfy all demands at minimum cost, in such a way that the generation and transmission capacities as well as the demands at the nodes of the system appear in an integrated form. The physical parameters of the network are also taken into account. The obtained large-scale mixed variable problem is relaxed in a smart, practical way, to allow for fast numerical solution of the problem. Seller Inventory # 9783319078144

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