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Mathematical modeling, simulation and optimization for power engineering and management

This edited monograph offers a summary of future mathematical methods supporting the recent energy sector transformation. It collects current contributions on innovative methods and algorithms. Advances in mathematical techniques and scientific computing methods are presented centering around econom...

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Detalles Bibliográficos
Autores principales: Göttlich, Simone, Herty, Michael, Milde, Anja
Lenguaje:eng
Publicado: Springer 2021
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-030-62732-4
http://cds.cern.ch/record/2753118
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author Göttlich, Simone
Herty, Michael
Milde, Anja
author_facet Göttlich, Simone
Herty, Michael
Milde, Anja
author_sort Göttlich, Simone
collection CERN
description This edited monograph offers a summary of future mathematical methods supporting the recent energy sector transformation. It collects current contributions on innovative methods and algorithms. Advances in mathematical techniques and scientific computing methods are presented centering around economic aspects, technical realization and large-scale networks. Over twenty authors focus on the mathematical modeling of such future systems with careful analysis of desired properties and arising scales. Numerical investigations include efficient methods for the simulation of possibly large-scale interconnected energy systems and modern techniques for optimization purposes to guarantee stable and reliable future operations. The target audience comprises research scientists, researchers in the R&D field, and practitioners. Since the book highlights possible future research directions, graduate students in the field of mathematical modeling or electrical engineering may also benefit strongly. .
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2021
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spelling cern-27531182021-04-21T16:43:33Zdoi:10.1007/978-3-030-62732-4http://cds.cern.ch/record/2753118engGöttlich, SimoneHerty, MichaelMilde, AnjaMathematical modeling, simulation and optimization for power engineering and managementMathematical Physics and MathematicsThis edited monograph offers a summary of future mathematical methods supporting the recent energy sector transformation. It collects current contributions on innovative methods and algorithms. Advances in mathematical techniques and scientific computing methods are presented centering around economic aspects, technical realization and large-scale networks. Over twenty authors focus on the mathematical modeling of such future systems with careful analysis of desired properties and arising scales. Numerical investigations include efficient methods for the simulation of possibly large-scale interconnected energy systems and modern techniques for optimization purposes to guarantee stable and reliable future operations. The target audience comprises research scientists, researchers in the R&D field, and practitioners. Since the book highlights possible future research directions, graduate students in the field of mathematical modeling or electrical engineering may also benefit strongly. .Springeroai:cds.cern.ch:27531182021
spellingShingle Mathematical Physics and Mathematics
Göttlich, Simone
Herty, Michael
Milde, Anja
Mathematical modeling, simulation and optimization for power engineering and management
title Mathematical modeling, simulation and optimization for power engineering and management
title_full Mathematical modeling, simulation and optimization for power engineering and management
title_fullStr Mathematical modeling, simulation and optimization for power engineering and management
title_full_unstemmed Mathematical modeling, simulation and optimization for power engineering and management
title_short Mathematical modeling, simulation and optimization for power engineering and management
title_sort mathematical modeling, simulation and optimization for power engineering and management
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-030-62732-4
http://cds.cern.ch/record/2753118
work_keys_str_mv AT gottlichsimone mathematicalmodelingsimulationandoptimizationforpowerengineeringandmanagement
AT hertymichael mathematicalmodelingsimulationandoptimizationforpowerengineeringandmanagement
AT mildeanja mathematicalmodelingsimulationandoptimizationforpowerengineeringandmanagement