Data Analytics and Artificial Intelligence Applied to the Energy Transition. Galapagos case study

dc.contributor.affiliationDepartamento de Organización de Empresas
dc.contributor.affiliationInstituto Universitario Mixto de Tecnología de Informática
dc.contributor.affiliationEscuela Técnica Superior de Ingeniería de Telecomunicación
dc.contributor.affiliationGrupo de Integración de Tecnologías de Información en las Organizaciones. ITIO
dc.contributor.authorIcaza, Danieles_ES
dc.contributor.authorGonzález-Ladrón-de-Guevara, Fernando
dc.date.accessioned2024-12-11T12:09:53Z
dc.date.available2024-12-11T12:09:53Z
dc.date.issued2024-05-29es_ES
dc.description.abstract[EN] For this research work, hybrid wind-photovoltaic systems were considered as primary sources of renewable energy that take advantage of wind speed and solar radiation and contribute to the energy transition of the Galapagos Islands. An approach is provided on the usefulness of artificial intelligence as support tools for the design of the sites in which energy plants should be implemented. The analysis focuses on identifying the available energy potentials through mapping and identification of the behavior patterns of the variables of both solar radiation and wind speeds essential for the transition process that is intended to be carried out in the Galapagos Islands. As a result, 36 possible useful sites for this transition process have been identified.en_EN
dc.description.accrualMethodSes_ES
dc.description.bibliographicCitationIcaza, D.; González-Ladrón-De-Guevara, F. (2024). Data Analytics and Artificial Intelligence Applied to the Energy Transition. Galapagos case study. IEEE Xplore. 753-760. https://doi.org/10.1109/icSmartGrid61824.2024.10578129es_ES
dc.description.upvformatpfin760es_ES
dc.description.upvformatpinicio753es_ES
dc.identifier.doi10.1109/icSmartGrid61824.2024.10578129es_ES
dc.identifier.isbn979-8-3503-6161-2es_ES
dc.identifier.urihttps://riunet.upv.es/handle/10251/212829
dc.languageIngléses_ES
dc.publisherIEEE Xplorees_ES
dc.relation.conferencedateMayo 27-29,2024es_ES
dc.relation.conferencename12th International Conference on Smart Grid (icSmartGrid 2024)es_ES
dc.relation.conferenceplaceSetúbal, Portugales_ES
dc.relation.ispartof2024 12th International Conference on Smart Grid (icSmartGrid)es_ES
dc.relation.pasarelaS\535107es_ES
dc.relation.publisherversionhttps://doi.org/10.1109/icSmartGrid61824.2024.10578129es_ES
dc.rightsReserva de todos los derechoses_ES
dc.rights.accessRightsCerradoes_ES
dc.subjectRenewable energyes_ES
dc.subjectEnergy transitiones_ES
dc.subjectSimulationes_ES
dc.subjectPlanninges_ES
dc.subjectArtificial intelligencees_ES
dc.subjectGalapagoses_ES
dc.subject.classificationORGANIZACION DE EMPRESASes_ES
dc.titleData Analytics and Artificial Intelligence Applied to the Energy Transition. Galapagos case studyes_ES
dc.typeComunicación en congresoes_ES
dc.typeCapítulo de libroes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dspace.entity.typePublication
person.identifier10314
person.identifier.orcid0000-0002-2617-1559
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relation.isAuthorOfPublication.latestForDiscoveryda670082-ee9a-4d1e-b492-7ff368469f90
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upv.uuid1ae39bfa-e0d0-410f-976c-4019583c1a62es_ES

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