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dc.contributor.authorAlvaro-Hermana, Roberto
dc.contributor.authorFraile-Ardanuy, Jesús
dc.contributor.authorMerino, Julia
dc.date.accessioned2018-03-07T15:22:37Z
dc.date.available2018-03-07T15:22:37Z
dc.date.issued2017
dc.identifier.citationAlvaro-Hermana, Roberto, Jesús Fraile-Ardanuy, and Julia Merino. “Algorithm Development for Night Charging Electric Vehicles Optimization in Big Data Applications.” Procedia Computer Science 109 (2017): 793–800. doi:10.1016/j.procs.2017.05.329.en
dc.identifier.issn1877-0509en
dc.identifier.urihttp://hdl.handle.net/11556/506
dc.description.abstractIn this paper a night charging method that optimizes the recharging process of electric vehicles (EVs) depending on hourly energy price in a peer to peer (P2P) energy trading system is presented. This algorithm determines how much energy should be recharged in the battery of each EV and the corresponding time slot to do it, avoiding the discontinuities in the charging process and considering the users’ personal mobility constraints.en
dc.language.isoengen
dc.publisherElsevier B.V.en
dc.titleAlgorithm development for night charging electric vehicles optimization in big data applicationsen
dc.typeconferenceObjecten
dc.identifier.doi10.1016/j.procs.2017.05.329en
dc.rights.accessRightsopenAccessen
dc.subject.keywordsElectric vehiclesen
dc.subject.keywordsPeer-to-peeren
dc.subject.keywordsOptimizationen
dc.journal.titleProcedia Computer Scienceen
dc.page.final800en
dc.page.initial793en
dc.volume.number109en
dc.conference.title8th International Conference on Ambient Systems, Networks and Technologies, ANT-2017 and the 7th International Conference on Sustainable Energy Information Technology, SEIT 2017, 16-19 May 2017, Madeira, Portugalen


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