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dc.contributor.authorLobato Miguélez, Enriquees-ES
dc.contributor.authorEchavarren Cerezo, Franciscoes-ES
dc.contributor.authorRouco Rodríguez, Luises-ES
dc.contributor.authorUgedo Álvarez-Ossorio, Alejandroes-ES
dc.date.accessioned2016-01-15T11:19:15Z
dc.date.available2016-01-15T11:19:15Z
dc.date.issued2007-06-01es_ES
dc.identifier.issn1913-133Xes_ES
dc.identifier.urihttp://hdl.handle.net/11531/5280
dc.descriptionArtículos en revistases_ES
dc.description.abstractes-ES
dc.description.abstractStatic security assessment within a power system requires:(a) building a scenario of the power system network that represents the state of the network for a particular time spot and (b) running a number of static security assessment tools that could be very time consuming. Short term forecasting of power system scenarios is required to foresee potential network problems and anticipate preventive or corrective measures to be taken under credible contingencies, thus increasing the reliability of the operation of the grid. The aim of this paper is to predict the values of switched shunt devices, i.e., reactors and capacitors in a short-term time scope (24 -36 hours ahead) in order to build a power system scenario. A methodology based on decision trees is proposed and its performance is validated by forecasting the reactive output of the shunt components of the Spanish power system.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceRevista: International Journal of Innovations in Energy Systems and Power, Periodo: 1, Volumen: online, Número: 1, Página inicial: 6, Página final: 12es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titleDecision trees applied to forecasting switched shunt devices within the Spanish power systemes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.keywordses-ES
dc.keywordsPower system operation, security assessment, artificial intelligence, decision treesen-GB


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