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03248nam a22006135i 4500 |
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978-3-319-07815-1 |
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DE-He213 |
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20151103123528.0 |
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cr nn 008mamaa |
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140825s2014 gw | s |||| 0|eng d |
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|a 9783319078151
|9 978-3-319-07815-1
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|a 10.1007/978-3-319-07815-1
|2 doi
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|d GrThAP
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|a QA402-402.37
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|a T57.6-57.97
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|a KJT
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|a BUS049000
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|a 519.6
|2 23
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|a Prékopa, András.
|e author.
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|a Scheduling of Power Generation
|h [electronic resource] :
|b A Large-Scale Mixed-Variable Model /
|c by András Prékopa, János Mayer, Beáta Strazicky, István Deák, János Hoffer, Ágoston Németh, Béla Potecz.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2014.
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| 300 |
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|a XI, 139 p. 26 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Springer Series in Operations Research and Financial Engineering,
|x 1431-8598
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|a Control of electric power systems -- A general mathematical programming model for the scheduling of electric power generation -- Assumptions for model simplification -- The model obtained by taking into account the simplifying assumptions -- Daily scheduling -- Appendix: The transmission network of electric power systems.
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|a 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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|a Mathematics.
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| 650 |
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|a Operations research.
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| 650 |
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|a Management science.
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| 650 |
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|a Mathematical optimization.
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| 650 |
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|a Industrial engineering.
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|a Production engineering.
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|a Mathematics.
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|a Operations Research, Management Science.
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| 650 |
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|a Industrial and Production Engineering.
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| 650 |
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|a Continuous Optimization.
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| 700 |
1 |
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|a Mayer, János.
|e author.
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| 700 |
1 |
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|a Strazicky, Beáta.
|e author.
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| 700 |
1 |
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|a Deák, István.
|e author.
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| 700 |
1 |
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|a Hoffer, János.
|e author.
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| 700 |
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|a Németh, Ágoston.
|e author.
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| 700 |
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|a Potecz, Béla.
|e author.
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| 710 |
2 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9783319078144
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| 830 |
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|a Springer Series in Operations Research and Financial Engineering,
|x 1431-8598
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| 856 |
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|u http://dx.doi.org/10.1007/978-3-319-07815-1
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-SMA
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| 950 |
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|a Mathematics and Statistics (Springer-11649)
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