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dc.creatorHernández Velázquez, María Doloreses
dc.creatorRomero Ternero, María del Carmenes
dc.creatorSivianes Castillo, Franciscoes
dc.creatorCarrasco Muñoz, Alejandroes
dc.creatorRopero Rodríguez, Jorgees
dc.date.accessioned2024-01-04T11:08:43Z
dc.date.available2024-01-04T11:08:43Z
dc.date.issued2019-01
dc.identifier.citationHernández Velázquez, M.D., Romero Ternero, M.d.C., Sivianes Castillo, F., Carrasco Muñoz, A. y Ropero Rodríguez, J. (2019). A Hybrid Intelligent Multiagent System for the Remote Control of Solar Farms. Applied Artificial Intelligence, 33 (2), 124-136. https://doi.org/10.1080/08839514.2018.1530854.
dc.identifier.issn0883-9514es
dc.identifier.urihttps://hdl.handle.net/11441/152953
dc.description.abstractThis paper describes a multiagent architecture integrated system designed to supervise infrastructures in solar farms. The system enables monitoring the environment by means of sensor networks that are in charge of collecting data. It is designed using a hybrid model composed of an inference engine and an ontology. The former makes the system intelligent, while the latter structures knowledge. We have also developed a tool to configure and use the multiagent system in a simple and intuitive way.es
dc.formatapplication/pdfes
dc.format.extent13 p.es
dc.language.isoenges
dc.publisherTaylor and Francis Inc.es
dc.relation.ispartofApplied Artificial Intelligence, 33 (2), 124-136.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectRemote controles
dc.subjectSensor networkses
dc.subjectHybrid modeles
dc.subjectIntegrated systemses
dc.subjectIntelligent multi agent systemses
dc.subjectMultiagent architecturees
dc.subjectMulti agent systemses
dc.titleA Hybrid Intelligent Multiagent System for the Remote Control of Solar Farmses
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Tecnología Electrónicaes
dc.relation.publisherversionhttps://www.tandfonline.com/doi/full/10.1080/08839514.2018.1530854es
dc.identifier.doi10.1080/08839514.2018.1530854es
dc.journaltitleApplied Artificial Intelligencees
dc.publication.volumen33es
dc.publication.issue2es
dc.publication.initialPage124es
dc.publication.endPage136es

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