Expert survey and classification of tools for modeling and simulating hybrid energy networks

Edmund Erich Widl; Dennis Cronbach; Peter Sorknæs; Jaume Fitó; Daniel Muschik; Maurizio Repetto; Julien Ramousse; Anton Inanakiev

doi:10.1016/j.segan.2022.100913

Expert survey and classification of tools for modeling and simulating hybrid energy networks

Edmund Erich Widl, Dennis Cronbach, Peter Sorknæs, Jaume Fitó, Daniel Muschik, Maurizio Repetto, Julien Ramousse, Anton Inanakiev

Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung

Originalsprache	Englisch
Seitenumfang	13
Fachzeitschrift	Sustainable Energy, Grids and Networks
Volume	32
DOIs	https://doi.org/10.1016/j.segan.2022.100913
Publikationsstatus	Veröffentlicht - 2022

Research Field

Power System Digitalisation

Zugriff auf Dokument

10.1016/j.segan.2022.100913Lizenz: Nicht angegeben

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title = "Expert survey and classification of tools for modeling and simulating hybrid energy networks",

author = "Widl, {Edmund Erich} and Dennis Cronbach and Peter Sorkn{\ae}s and Jaume Fit{\'o} and Daniel Muschik and Maurizio Repetto and Julien Ramousse and Anton Inanakiev",

year = "2022",

doi = "10.1016/j.segan.2022.100913",

language = "English",

volume = "32",

journal = "Sustainable Energy, Grids and Networks",

issn = "2352-4677",

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TY - JOUR

T1 - Expert survey and classification of tools for modeling and simulating hybrid energy networks

AU - Widl, Edmund Erich

AU - Cronbach, Dennis

AU - Sorknæs, Peter

AU - Fitó, Jaume

AU - Muschik, Daniel

AU - Repetto, Maurizio

AU - Ramousse, Julien

AU - Inanakiev, Anton

PY - 2022

Y1 - 2022

U2 - 10.1016/j.segan.2022.100913

DO - 10.1016/j.segan.2022.100913

M3 - Article

SN - 2352-4677

VL - 32

JO - Sustainable Energy, Grids and Networks

JF - Sustainable Energy, Grids and Networks

ER -