Yapay sinir a?i ve uydu datalari kullanilarak güneş radyasyonunun tahmini

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dc.contributor.authorKuncan, Fatma
dc.contributor.authorŞahin, Mehmet
dc.date.accessioned2024-12-24T19:09:45Z
dc.date.available2024-12-24T19:09:45Z
dc.date.issued2017
dc.departmentSiirt Üniversitesi
dc.description2017 International Artificial Intelligence and Data Processing Symposium, IDAP 2017 -- 16 September 2017 through 17 September 2017 -- Malatya -- 115012
dc.description.abstractIn this study, a model was developed to estimate monthly-average daily solar radiation over Turkey. Artificial neural network method was used in improved model. The solar radiation values of 53 different locations over Turkey were taken as data. Land surface temperature, altitude, latitude, longitude and month values were used as input variables for modeling artificial neural network and solar radiation has been estimated as output of artificial neural network model. The RMSE, MBE and correlation coefficient for the best developed model were calculated as 1.550 MJ/m2, -0.172 MJ/m2 and 0.972, respectively. © 2017 IEEE.
dc.identifier.doi10.1109/IDAP.2017.8090288
dc.identifier.isbn978-153861880-6
dc.identifier.scopus2-s2.0-85039902301
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org10.1109/IDAP.2017.8090288
dc.identifier.urihttps://hdl.handle.net/20.500.12604/3739
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofIDAP 2017 - International Artificial Intelligence and Data Processing Symposium
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241222
dc.subjectAlgorithm
dc.subjectArtificial neural network
dc.subjectLand surface temperature
dc.subjectSolar radiation
dc.titleYapay sinir a?i ve uydu datalari kullanilarak güneş radyasyonunun tahmini
dc.typeConference Object

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