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Scheduling of Power Generation - A Large-Scale Mixed-Variable Model (Paperback, Softcover reprint of the original 1st ed. 2014) Loot Price: R1,172
Discovery Miles 11 720
Scheduling of Power Generation - A Large-Scale Mixed-Variable Model (Paperback, Softcover reprint of the original 1st ed....

Scheduling of Power Generation - A Large-Scale Mixed-Variable Model (Paperback, Softcover reprint of the original 1st ed. 2014)

Andras Prekopa, J anos Mayer, Beata Strazicky, Istvan Deak, Janos Hoffer, Agoston Nemeth, Bela Potecz

Series: Springer Series in Operations Research and Financial Engineering

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Loot Price R1,172 Discovery Miles 11 720 | Repayment Terms: R110 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Springer Series in Operations Research and Financial Engineering
Release date: September 2016
First published: 2014
Authors: Andras Prekopa • J anos Mayer • Beata Strazicky • Istvan Deak • Janos Hoffer • Agoston Nemeth • Bela Potecz
Dimensions: 235 x 155 x 8mm (L x W x T)
Format: Paperback
Pages: 139
Edition: Softcover reprint of the original 1st ed. 2014
ISBN-13: 978-3-319-36113-0
Categories: Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Science & Mathematics > Mathematics > Optimization > General
Books > Professional & Technical > Mechanical engineering & materials > Production engineering > General
LSN: 3-319-36113-9
Barcode: 9783319361130

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