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210512 ||| eng |
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|a 1000021824
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|a 9783866446335
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|a Geiger, Ansgar
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| 245 |
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|a Strategic power plant investment planning under fuel and carbon price uncertainty
|h Elektronische Ressource
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| 260 |
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|b KIT Scientific Publishing
|c 2011
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| 300 |
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|a 1 electronic resource (XVIII, 306 p. p.)
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| 653 |
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|a Approximate Dynamic Programming
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| 653 |
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|a Power Plant Investment Planning
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| 653 |
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|a Fundamental Electricity Market Models
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| 653 |
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|a Dynamic Programming
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| 653 |
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|a Real Options
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
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| 028 |
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|a 10.5445/KSP/1000021824
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/60100
|z DOAB: description of the publication
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|u https://www.ksp.kit.edu/9783866446335
|7 0
|x Verlag
|3 Volltext
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|a 580
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| 520 |
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|a The profitability of power plant investments depends strongly on uncertain fuel and carbon prices. In this doctoral thesis, we combine fundamental electricity market models with stochastic dynamic programming to evaluate power plant investments under uncertainty. The application of interpolation-based stochastic dynamic programming and approximate dynamic programming allows us to consider a greater variety of stochastic fuel and carbon price scenarios compared to other approaches.
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