Data-driven multi-objective optimization for electric vehicle charging infrastructure

This paper presents a data-driven methodology combining simulation and multi-objective optimization to efficiently implement transportation policy commitments, using as a case study the electric vehicle (EV) charging infrastructure in Newcastle upon Tyne, United Kingdom. The methodology leverages a...

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Detalles Bibliográficos
Autores principales: Farhadi, Farzaneh, Wang, Shixiao, Palacin, Roberto, Blythe, Phil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502409/
https://www.ncbi.nlm.nih.gov/pubmed/37720110
http://dx.doi.org/10.1016/j.isci.2023.107737

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502409/
https://www.ncbi.nlm.nih.gov/pubmed/37720110
http://dx.doi.org/10.1016/j.isci.2023.107737

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