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Mathematical Optimization for Efficient and Robust Energy Networks, 1st ed. 2021 AIRO Springer Series, Vol. 4

Langue : Anglais
Couverture de l’ouvrage Mathematical Optimization for Efficient and Robust Energy Networks
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.

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.


Natalia Selini Hadjidimitriou is researcher at the Department of Sciences and Methods for Engineering (DISMI) at University of Modena and Reggio Emilia. She has a degree in Statistics and economics obtained in 2005 and a PhD in Automatic and Operational Research obtained in 2015 at University of Bologna. Her research activities focus on data analytics techniques for the transport and energy sectors. She teaches data science and she has coordinated several EU projects activities.

Antonio Frangioni is Full Professor at the Department of Computer Science of the University of Pisa. His main research interest are the analysis, implementation and testing of solution approaches for problems at the interface between continuous and combinatorial optimization, and their real-life application to several fields (energy, logistic, telecommunications, ...). He is also interested in the numerical analysis, computer science, artificial intelligence and machine learning issuesarising within these approaches and, vice-versa, in the use of mathematical programming techniques in those disciplines. He has co-ordinated several scientific and applied projects, among which being vice-chair of the COST Action TD1207.

Andrea Lodi is a full professor in the Department of Mathematical and Industrial Engineering at Polytechnique Montréal and holds the Canada Excellence Research Chair in Data Science for Real-Time Decision-Making. His research interests are mixed-integer linear and nonlinear programming and data science. He received several awards including the IBM Herman Goldstine Fellowship, the Google Faculty Research award and the IBM Faculty Award. He has been network coordinator and principal investigator of both EU and Canadian projects/networks, among which the the COST Action TD1207; since 2006, he is consultant of the IBM CPLEX research and development team.

Thorsten Koch is Professor for Software and Algorithms for Discrete Optimizatio

A unique attempt to cover all facets of energy optimization Offers an overview from technical issues of the electrical system and energy commodities (production and demand management, network and storage, maintenance) to the related aspects concerning finance, regulations, politics, and market design Addressess to practitioners and researchers in the field

Date de parution :

Ouvrage de 131 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

Prix indicatif 105,49 €

Ajouter au panier

Date de parution :

Ouvrage de 131 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

105,49 €

Ajouter au panier

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