GLOBAL SOLAR RADIATION PREDICTION MODEL WITH RANDOM FOREST ALGORITHM

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dc.contributor.authorKor, Hakan
dc.date.accessioned2021-11-01T15:05:28Z
dc.date.available2021-11-01T15:05:28Z
dc.date.issued2021
dc.department[Belirlenecek]
dc.description.abstractGlobal solar radiation estimation is crucial for regional climate assessment and crop growth. Therefore, studies on the prediction of solar radiation are emerging. With the availability of the public data on solar radiation, computerized models have been developed as well. These predictive models play signcant role in determining the potentials of regions suitable for renewable energy generation required by engineering and agricultural activities. Herein a computerized model has been presented for estimating global solar radiation. The model utilizes random forest algorithm and reached predictive value of 93.9%.
dc.identifier.doi10.2298/TSCI200608004K
dc.identifier.endpageS39en_US
dc.identifier.issn0354-9836
dc.identifier.issn2334-7163
dc.identifier.scopus2-s2.0-85101607987
dc.identifier.scopusqualityQ3
dc.identifier.startpageS31en_US
dc.identifier.urihttps://doi.org/10.2298/TSCI200608004K
dc.identifier.urihttps://hdl.handle.net/11491/7287
dc.identifier.volume25en_US
dc.identifier.wosWOS:000637582200004
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthor[Belirlenecek]
dc.language.isoen
dc.publisherVinca Inst Nuclear Sci
dc.relation.ispartofThermal Science
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectrandom foresten_US
dc.subjectsolar radiationen_US
dc.subjectprediction modelen_US
dc.titleGLOBAL SOLAR RADIATION PREDICTION MODEL WITH RANDOM FOREST ALGORITHM
dc.typeArticle

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