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150601 ||| eng |
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|a 9783319195728
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| 100 |
1 |
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|a Mirakyan, Atom
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| 245 |
0 |
0 |
|a Three Domain Modelling and Uncertainty Analysis
|h Elektronische Ressource
|b Applications in Long Range Infrastructure Planning
|c by Atom Mirakyan, Roland De Guio
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| 250 |
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|a 1st ed. 2015
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2015, 2015
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| 300 |
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|a XX, 206 p. 90 illus., 41 illus. in color
|b online resource
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| 505 |
0 |
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|a Introduction -- Energy infrastructure planning in cities and territories, quality factors of methods for infrastructure planning.- 3-domain modelling -- Conceptual basis of uncertainty in IEPCT -- Multi-method approaches for uncertainty Analysis -- Implementation of discussed uncertainty analysis approaches in case studies -- Evaluation and discussion -- Overall conclusion and future research
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| 653 |
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|a Mechanical Power Engineering
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| 653 |
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|a Complex Systems
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| 653 |
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|a Regional and Spatial Economics
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| 653 |
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|a Electric power production
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| 653 |
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|a Spatial economics
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| 653 |
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|a Operations research
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| 653 |
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|a System theory
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| 653 |
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|a Regional economics
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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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| 700 |
1 |
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|a De Guio, Roland
|e [author]
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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 10.1007/978-3-319-19572-8
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-319-19572-8?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 658,403
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| 520 |
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|a This book examines in detail the planning and modelling of local infrastructure like energy systems, including the complexities resulting from various uncertainties. Readers will discover the individual steps involved in infrastructure planning in cities and territories, as well as the primary requirements and supporting quality factors. Further topics covered concern the field of uncertainty and its synergies with infrastructure planning. Theories, methodological backgrounds and concrete case studies will not only help readers to understand the proposed methodologies for modelling and uncertainty analysis, but will also show them how these approaches are implemented in practice
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