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Three Domain Modelling and Uncertainty Analysis - Applications in Long Range Infrastructure Planning (Paperback, Softcover reprint of the original 1st ed. 2015) Loot Price: R2,158
Discovery Miles 21 580
Repayment Terms: R202 pm x 12*
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Three Domain Modelling and Uncertainty Analysis - Applications in Long Range Infrastructure Planning (Paperback, Softcover...

Three Domain Modelling and Uncertainty Analysis - Applications in Long Range Infrastructure Planning (Paperback, Softcover reprint of the original 1st ed. 2015)

Atom Mirakyan, Roland de Guio

Series: Energy Systems

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Loot Price R2,158 Discovery Miles 21 580 | Repayment Terms: R202 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Energy Systems
Release date: October 2016
First published: 2015
Authors: Atom Mirakyan • Roland de Guio
Dimensions: 235 x 155 x 12mm (L x W x T)
Format: Paperback
Pages: 206
Edition: Softcover reprint of the original 1st ed. 2015
ISBN-13: 978-3-319-36966-2
Categories: Books > Business & Economics > Economics > Political economy
Books > Professional & Technical > Energy technology & engineering > General
Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Science & Mathematics > Mathematics > Applied mathematics > General
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LSN: 3-319-36966-0
Barcode: 9783319369662

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