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Three domain modelling and uncertain...

Mirakyan, Atom.

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Three domain modelling and uncertainty analysis = applications in long range infrastructure planning /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Three domain modelling and uncertainty analysis/ by Atom Mirakyan, Roland De Guio.
Reminder of title:	applications in long range infrastructure planning /
Author:	Mirakyan, Atom.
other author:	Guio, Roland de.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xx, 206 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Infrastructure (Economics) -
Online resource:	http://dx.doi.org/10.1007/978-3-319-19572-8
ISBN:	9783319195728 (electronic bk.)

Three domain modelling and uncertainty analysis = applications in long range infrastructure planning /
Mirakyan, Atom.

Three domain modelling and uncertainty analysisapplications in long range infrastructure planning /[electronic resource] :by Atom Mirakyan, Roland De Guio. - Cham :Springer International Publishing :2015. - xx, 206 p. :ill., digital ;24 cm. - Energy systems,1867-8998. - Energy systems..

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.

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.

ISBN: 9783319195728 (electronic bk.)

Standard No.: 10.1007/978-3-319-19572-8doiSubjects--Topical Terms:

603136
Infrastructure (Economics)

LC Class. No.: HC79.C3

Dewey Class. No.: 363.6

Three domain modelling and uncertainty analysis = applications in long range infrastructure planning /
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100 1 $a Mirakyan, Atom. $3 2153246
245 1 0 $a Three domain modelling and uncertainty analysis $h [electronic resource] : $b applications in long range infrastructure planning / $c by Atom Mirakyan, Roland De Guio.
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505 0 $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.
520 $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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