Implementation of artificial intelligence algorithms in climatic zoning according with energy demand in dwellings. A european case

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dc.contributor.authorLlorente Yoldi, Javier
dc.contributor.authorGastón Romeo, Martín
dc.contributor.authorFrías Paredes, Laura
dc.contributor.authorUr Rehman, Hassam
dc.contributor.departmentEstadística e Investigación Operativaes_ES
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.departmentEstatistika eta Ikerketa Operatiboaeu
dc.date.accessioned2022-08-16T09:22:55Z
dc.date.available2022-08-16T09:22:55Z
dc.date.issued2021
dc.description.abstractScience has shown, based on data and knowledge, that there is clear evidence that global warming is not a transient effect, and that it is caused mainly by human activity. The consequences of climate change can be noted and quantified nowadays, but the worst thing is that these impacts are expected to intensify in the coming decades. Obviously, global problems require global solutions, and even if there are certain difficulties to define a clear path, there is no doubt that the worldwide efforts should lead to keep the global temperatura increase to well below 1.5ºCen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/43796
dc.language.isoengen
dc.rightsCreative Commons Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectGlobal Warmingen
dc.subjectHuman activityen
dc.subjectClimate changeen
dc.titleImplementation of artificial intelligence algorithms in climatic zoning according with energy demand in dwellings. A european caseen
dc.typeinfo:eu-repo/semantics/conferenceObject
dspace.entity.typePublication
relation.isAuthorOfPublicationb2606814-3765-4898-8ade-90d6a6112fa9
relation.isAuthorOfPublication2fc7260a-edd4-4ef0-bd4a-cd70cb2d7c0a
relation.isAuthorOfPublication.latestForDiscoveryb2606814-3765-4898-8ade-90d6a6112fa9

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