Analysis of relevant variables to monitor a photovoltaic charging station through the Function to Data Matrix (FDM) method

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dc.contributor.authorCárdenas-Gómez I.
dc.contributor.authorFernández-Montoya M.
dc.contributor.authorMejía-Gutiérrez R.
dc.date.accessioned2021-04-12T21:14:34Z
dc.date.available2021-04-12T21:14:34Z
dc.date.issued2018-01-01
dc.description.abstractThe growth of the electric vehicle industry has brought the development of charging stations and the need for good performance of such systems. The large amount of information that can be monitored in these systems can represent a problem for a good operation in terms of control, computational cost and time. For this reason, it is necessary to make a selection of variables that allows to decrease the data-set’s size without compromising the quality of information, needed for a proper information management system. There are several methods for prioritizing variables, such as the Function to Data Matrix (FDM). This method takes into account the functional analysis of the system, as well as the operative states and their relationship with the basic functions and variables. This enables to obtain a Variable Relevance Indicator (VRI) to define which variables have a higher importance under a particular perspective based on the main function of a system. This article presents the process of analyzing a photovoltaic charging station through the FDM method in order to define the most relevant information to be deployed in a future remote monitoring system. © 2018 Institution of Engineering and Technology. All rights reserved.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=8796
dc.identifier.isbn9781785619632
dc.identifier.otherSCOPUS;2-s2.0-85061304618
dc.identifier.urihttp://hdl.handle.net/10784/28969
dc.language.isoengeng
dc.publisherInstitution of Engineering and Technology
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85061304618&partnerID=40&md5=502fa2157adfb1ef1b7c74665801e44a
dc.rightsInstitution of Engineering and Technology
dc.sourceIet Seminar Digest
dc.subject.keywordCharging (batteries)eng
dc.subject.keywordFrequency division multiplexingeng
dc.subject.keywordMatrix algebraeng
dc.subject.keywordMonitoringeng
dc.subject.keywordCharging stationeng
dc.subject.keywordComputational costseng
dc.subject.keywordData matriceseng
dc.subject.keywordInformation management systemseng
dc.subject.keywordQuality of informationeng
dc.subject.keywordRemote monitoring systemeng
dc.subject.keywordSelection of variableseng
dc.subject.keywordVariables analysiseng
dc.subject.keywordInformation managementeng
dc.titleAnalysis of relevant variables to monitor a photovoltaic charging station through the Function to Data Matrix (FDM) methodeng
dc.typeinfo:eu-repo/semantics/conferencePapereng
dc.typeconferencePapereng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
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