Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/113766
Campo DC Valoridioma
dc.contributor.authorÉvora Gómez, Joséen_US
dc.contributor.authorHernández Cabrera, José Juanen_US
dc.contributor.authorBarbosa, Danielen_US
dc.contributor.authorNazareno Baria, Pauloen_US
dc.date.accessioned2022-02-15T16:16:24Z-
dc.date.available2022-02-15T16:16:24Z-
dc.date.issued2014en_US
dc.identifier.isbn978-907738186-1en_US
dc.identifier.urihttp://hdl.handle.net/10553/113766-
dc.description.abstractThe need to reduce the dependence on fossil fuels has promoted the introduction of new paradigms to improve overall power grid efficiency. Because of this, electrical vehicles are becoming more popular. Not withstanding,their introduction means new challenges which must be addressed in order that future power grids can support their recharge. To this end, new power grid control mechanisms are being developed to avoid huge expen-ditures in extending the supply capacity of power grids.Amongst these, one of the most popular is known as“Demand Side Management”. The challenge of studying prospective scenarios in which electrical vehicle chargingis controlled by a Demand Side Management policy is addressed in this paper. This paper proposes an agent-based modelling approach to deal with this kind of study and presents two experiments in which its advantages are highlighted.en_US
dc.languageengen_US
dc.publisherEUROSISen_US
dc.relationFramework Para la Simulación de la Gestión de Mercado y Técnica de Redes Eléctricas Insulares Basado en Agentes Inteligentes. Caso de la Red Eléctrica de Gran Canaria.en_US
dc.sourceModelling and Simulation 2014 - European Simulation and Modelling Conference, (ESM 2014), p 353 - 357en_US
dc.subject120326 Simulaciónen_US
dc.subject120304 Inteligencia artificialen_US
dc.subject.otherAgent-based modellingen_US
dc.subject.otherPower griden_US
dc.subject.otherSimulationen_US
dc.subject.otherElectrical vehiclesen_US
dc.subject.otherDemand side managementen_US
dc.subject.otherDemand responseen_US
dc.titleAgent-based modelling for designing an EV charging distribution system: a case study in Salvador of Bahiaen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference28th European Simulation and Modelling Conference (ESM 2014)en_US
dc.description.lastpage3537en_US
dc.description.firstpage353en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.description.numberofpages5en_US
dc.utils.revisionen_US
dc.date.coverdateOctubre 2014en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-INFen_US
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Redes Neuronales, Aprendizaje Automático e Ingeniería de Datos-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Redes Neuronales, Aprendizaje Automático e Ingeniería de Datos-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0003-2427-2441-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameÉvora Gómez, José-
crisitem.author.fullNameHernández Cabrera, José Juan-
crisitem.project.principalinvestigatorHernández Tejera, Francisco Mario-
crisitem.event.eventsstartdate22-10-2014-
crisitem.event.eventsenddate24-10-2014-
Colección:Actas de congresos
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