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130626 ||| eng |
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|a 9783642024931
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| 100 |
1 |
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|a Rebennack, Steffen
|e [editor]
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| 245 |
0 |
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|a Handbook of Power Systems I
|h Elektronische Ressource
|c edited by Steffen Rebennack, Panos M. Pardalos, Mario V. F. Pereira, Niko A. Iliadis
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| 250 |
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|a 1st ed. 2010
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| 260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2010, 2010
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| 300 |
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|a XX, 494 p
|b online resource
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| 505 |
0 |
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|a Operation planning -- Constructive Dual DP for Reservoir Optimization -- Long- and Medium-term Operations Planning and Stochastic Modelling in Hydro-dominated Power Systems Based on Stochastic Dual Dynamic Programming -- Dynamic Management of Hydropower-Irrigation Systems -- Latest Improvements of EDF Mid-term Power Generation Management -- Large Scale Integration of Wind Power Generation -- Optimization Models in the Natural Gas Industry -- Integrated Electricity–Gas Operations Planning in Long-term Hydroscheduling Based on Stochastic Models -- Recent Progress in Two-stage Mixed-integer Stochastic Programming with Applications to Power Production Planning -- Dealing With Load and Generation Cost Uncertainties in Power System Operation Studies: A Fuzzy Approach -- OBDD-Based Load Shedding Algorithm for Power Systems -- Solution to Short-term Unit Commitment Problem -- A Systems Approach for the Optimal Retrofitting of Utility Networks Under Demand and Market Uncertainties -- Co-Optimization of Energy and Ancillary Service Markets -- Expansion planning -- Investment Decisions Under Uncertainty Using Stochastic Dynamic Programming: A Case Study of Wind Power -- The Integration of Social Concerns into Electricity Power Planning: A Combined Delphi and AHP Approach -- Transmission Network Expansion Planning Under Deliberate Outages -- Long-term and Expansion Planning for Electrical Networks Considering Uncertainties -- Differential Evolution Solution to Transmission Expansion Planning Problem -- Agent-based Global Energy Management Systems for the Process Industry -- Optimal Planning of Distributed Generation via Nonlinear Optimization and Genetic Algorithms
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| 653 |
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|a Mathematical optimization
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| 653 |
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|a Operations research
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| 653 |
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|a Electrical Power Engineering
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| 653 |
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|a Operations Research and Decision Theory
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| 653 |
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|a Electric power production
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| 653 |
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|a Calculus of variations
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| 653 |
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|a Mechanical Power Engineering
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| 653 |
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|a Calculus of Variations and Optimization
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| 700 |
1 |
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|a Pardalos, Panos M.
|e [editor]
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| 700 |
1 |
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|a Pereira, Mario V. F.
|e [editor]
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| 700 |
1 |
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|a Iliadis, Niko A.
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Energy Systems
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| 028 |
5 |
0 |
|a 10.1007/978-3-642-02493-1
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-642-02493-1?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 515.64
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| 082 |
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|a 519.6
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| 520 |
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|a Energy is one of the world`s most challenging problems, and power systems are an important aspect of energy related issues. This handbook contains state-of-the-art contributions on power systems modeling and optimization. The book is separated into two volumes with six sections, which cover the most important areas of energy systems. The first volume covers the topics operations planning and expansion planning while the second volume focuses on transmission and distribution modeling, forecasting in energy, energy auctions and markets, as well as risk management. The contributions are authored by recognized specialists in their fields and consist in either state-of-the-art reviews or examinations of state-of-the-art developments. The articles are not purely theoretical, but instead also discuss specific applications in power systems
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