Wind speed estimation for missing wind data with three different backpropagation algorithms

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dc.contributor.authorLuy, Murat
dc.contributor.authorSaray, Umut
dc.date.accessioned2020-06-25T17:52:35Z
dc.date.available2020-06-25T17:52:35Z
dc.date.issued2012
dc.departmentKırıkkale Üniversitesi
dc.descriptionLUY, Murat/0000-0002-2378-0009;
dc.description.abstractIn this study, wind data acquired from Tokat province located in the Central Black Sea section of the Black Sea region of Turkey were used to estimate wind speed by using artificial neural networks (ANN). A 3-layer feedback network was designed for wind speed modeling with MATLAB Neural Network Toolbox. Data used were acquired from State Meteorological station taken from a height of 10 meters. By using daily average wind speed data of Tokat province in 2010, ANN feedback network algorithms were used in order to recover any missing wind speed data. ANN feedback model Levenberg - Marquardt (LM) learning algorithm, the gradient - Descent (GD) learning algorithm and Resilient (RPROP) learning algorithm were used for randomly selected three data for each month and root mean square error (RMSE) and mean square error (MSE) values were calculated.en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.endpage54en_US
dc.identifier.issn1308-772X
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-84872726940
dc.identifier.scopusqualityN/A
dc.identifier.startpage45en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12587/5182
dc.identifier.volume30en_US
dc.identifier.wosWOS:000312577400005
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSila Scienceen_US
dc.relation.ispartofEnergy Education Science And Technology Part A-Energy Science And Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectWind speed predictionen_US
dc.subjectNeural networksen_US
dc.subjectBackpropagationen_US
dc.subjectLevenberg-Marquardten_US
dc.subjectResilienten_US
dc.subjectGradient Descenten_US
dc.titleWind speed estimation for missing wind data with three different backpropagation algorithmsen_US
dc.typeArticle

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