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Mathematical Optimization for Efficient and Robust Energy Networks

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Mathematical Optimization for Efficient and Robust Energy Networks/ edited by Natalia Selini Hadjidimitriou, Antonio Frangioni, Thorsten Koch, Andrea Lodi.
其他作者:	Lodi, Andrea.
面頁冊數:	XII, 131 p. 5 illus., 4 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Energy Policy, Economics and Management. -
電子資源:	https://doi.org/10.1007/978-3-030-57442-0
ISBN:	9783030574420

Mathematical Optimization for Efficient and Robust Energy Networks
Mathematical Optimization for Efficient and Robust Energy Networks[electronic resource] /edited by Natalia Selini Hadjidimitriou, Antonio Frangioni, Thorsten Koch, Andrea Lodi. - 1st ed. 2021. - XII, 131 p. 5 illus., 4 illus. in color.online resource. - AIRO Springer Series,42523-7055 ;. - AIRO Springer Series,1.

Part I Electrical Energy Systems - Diekerhof M. et al., Production and Demand Management -- . Marecek J. et al., Network and Storage -- Lacalandra F. et al., Maintenance -- Helmberg H. et al., Finance, Regulations, Politics and Market Design -- Part II Energy Commodities Systems - D’Ambrosio C. et al., Production and Demand Management -- Schwarz R. et al., Network and Storage -- Schmidt M. et al., Finance and Regulations.

This book presents a collection of energy production and distribution problems identified by the members of the COST Action TD1207 "Mathematical Optimization in the Decision Support Systems for Efficient and Robust Energy Networks". The aim of the COST Action was to coordinate the efforts of the experts in different fields, from academia and industry, in developing innovative tools for quantitative decision making, and apply them to the efficient and robust design and management of energy networks. The work covers three main goals: • to be a nimble while comprehensive resource of several real life business problems with a categorized set of pointers to many relevant prescriptive problems for energy systems; • to offer a balanced mix of scientific and industrial views; • to evolve over time in a flexible and dynamic way giving, from time to time, a more scientific or industrial - or even political in a broad sense - weighed perspective. It is addressed to researchers and professionals working in the field.

ISBN: 9783030574420

Standard No.: 10.1007/978-3-030-57442-0doiSubjects--Topical Terms:

784769
Energy Policy, Economics and Management.

LC Class. No.: TA329-348

Dewey Class. No.: 519

Mathematical Optimization for Efficient and Robust Energy Networks
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