- -

A Multi-Agent System for the Dynamic Emplacement of Electric Vehicle Charging Stations

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

A Multi-Agent System for the Dynamic Emplacement of Electric Vehicle Charging Stations

Show simple item record

Files in this item

dc.contributor.author Jordán, Jaume es_ES
dc.contributor.author Palanca Cámara, Javier es_ES
dc.contributor.author Del Val Noguera, Elena es_ES
dc.contributor.author Julian Inglada, Vicente Javier es_ES
dc.contributor.author Botti, V. es_ES
dc.date.accessioned 2019-05-31T20:42:47Z
dc.date.available 2019-05-31T20:42:47Z
dc.date.issued 2018 es_ES
dc.identifier.uri http://hdl.handle.net/10251/121353
dc.description.abstract [EN] One of the main current challenges of electric vehicles (EVs) is the creation of a reliable, accessible and comfortable charging infrastructure for citizens in order to enhance demand. In this paper, a multi-agent system (MAS) is proposed to facilitate the analysis of different placement configurations for EV charging stations. The proposed MAS integrates information from heterogeneous data sources as a starting point to characterize the areas where charging stations could potentially be placed. Through a genetic algorithm, the MAS is able to analyze a large number of possible configurations, taking into account a set of criteria to be optimized. Finally, the MAS returns a configuration with the areas of the city that are considered most appropriate for the establishment of charging stations according to the specified criteria. es_ES
dc.description.sponsorship This work was partially supported by the MINECO/FEDER TIN2015-65515-C4-1-R and MOVINDECI projects of the Spanish government. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation MINECO/TIN2015-65515-C4-1-R es_ES
dc.relation.ispartof Applied Sciences (Basel) es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Multi-agent systems es_ES
dc.subject Electric vehicles es_ES
dc.subject Charging stations es_ES
dc.subject Genetic algorithm es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.subject.classification BIBLIOTECONOMIA Y DOCUMENTACION es_ES
dc.title A Multi-Agent System for the Dynamic Emplacement of Electric Vehicle Charging Stations es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/app8020313 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Jordán, J.; Palanca Cámara, J.; Del Val Noguera, E.; Julian Inglada, VJ.; Botti, V. (2018). A Multi-Agent System for the Dynamic Emplacement of Electric Vehicle Charging Stations. Applied Sciences (Basel). 8(2):313-327. https://doi.org/10.3390/app8020313 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.3390/app8020313 es_ES
dc.description.upvformatpinicio 313 es_ES
dc.description.upvformatpfin 327 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 8 es_ES
dc.description.issue 2 es_ES
dc.identifier.eissn 2076-3417 es_ES
dc.relation.pasarela S\354250 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder European Regional Development Fund
dc.contributor.funder Global Energy Trading


This item appears in the following Collection(s)

Show simple item record