, , , e.a.

Mathematical Optimization for Efficient and Robust Energy Networks

Specificaties
Gebonden, blz. | Engels
Springer International Publishing | e druk, 2021
ISBN13: 9783030574413
Rubricering
Springer International Publishing e druk, 2021 9783030574413
Onderdeel van serie AIRO Springer Series
€ 120,99
Levertijd ongeveer 8 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9783030574413
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer International Publishing

Inhoudsopgave

<p></p><p>Part I Electrical Energy Systems - &nbsp;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 - &nbsp;D’Ambrosio C. et al., Production and Demand Management.- Schwarz R. et al., Network and Storage.- Schmidt M. et al., Finance and Regulations.</p><br><p></p>
€ 120,99
Levertijd ongeveer 8 werkdagen

Rubrieken

    Personen

      Trefwoorden

        Mathematical Optimization for Efficient and Robust Energy Networks