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Wind speed prediction by utilizing geographic information system and machine learning approach: A case study of Karabük province in Türkiye

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dc.contributor.authorGürsoy, Emrehan
dc.contributor.authorGürdal, Mehmet
dc.contributor.authorGedik, Engin
dc.date.accessioned2026-01-05T22:32:05Z
dc.date.issued2024-12-22
dc.description.urihttps://doi.org/10.1080/15435075.2024.2445093
dc.identifier.doi10.1080/15435075.2024.2445093
dc.identifier.eissn1543-5083
dc.identifier.endpage1815
dc.identifier.issn1543-5075
dc.identifier.openairedoi_________::68fb5315dff13dd08a55dc9fc4912997
dc.identifier.orcid0000-0003-2373-3357
dc.identifier.scopus2-s2.0-85212822428
dc.identifier.startpage1799
dc.identifier.urihttps://hdl.handle.net/20.500.12597/43194
dc.identifier.volume22
dc.identifier.wos001382094000001
dc.language.isoeng
dc.publisherInforma UK Limited
dc.relation.ispartofInternational Journal of Green Energy
dc.titleWind speed prediction by utilizing geographic information system and machine learning approach: A case study of Karabük province in Türkiye
dc.typeArticle
dspace.entity.typePublication
local.import.sourceOpenAire
local.indexed.atWOS
local.indexed.atScopus

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