A multi-criteria decision aid methodology to design electric vehicles public charging networks

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dc.contributor.author Rasposo, João
dc.contributor.author Rodrigues, Ana
dc.contributor.author Silva, Carlos
dc.contributor.author Dentinho, Tomaz
dc.date.accessioned 2018-05-04T14:25:13Z
dc.date.available 2018-05-04T14:25:13Z
dc.date.issued 2015-05-08
dc.identifier.citation Raposo J, Rodrigues A, Silva C, Dentinho T, A multi-criteria decision aid methodology to design electric vehicles public charging networks, AIP Advances, Vol. 5, issue 5, May 2015, Article number 057123 en_UK
dc.identifier.issn 2158-3226
dc.identifier.uri http://dx.doi.org/10.1063/1.4921087
dc.identifier.uri https://dspace.lib.cranfield.ac.uk/handle/1826/13189
dc.description.abstract This article presents a new multi-criteria decision aid methodology, dynamic-PROMETHEE, here used to design electric vehicle charging networks. In applying this methodology to a Portuguese city, results suggest that it is effective in designing electric vehicle charging networks, generating time and policy based scenarios, considering offer and demand and the city’s urban structure. Dynamic-PROMETHE adds to the already known PROMETHEE’s characteristics other useful features, such as decision memory over time, versatility and adaptability. The case study, used here to present the dynamic-PROMETHEE, served as inspiration and base to create this new methodology. It can be used to model different problems and scenarios that may present similar requirement characteristics. en_UK
dc.language.iso en en_UK
dc.publisher AIP Publishing en_UK
dc.rights Attribution 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ *
dc.title A multi-criteria decision aid methodology to design electric vehicles public charging networks en_UK
dc.type Article en_UK


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