NEURAL PREDICTION OF POWER FACTOR IN WIND TURBINES

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dc.contributor.authorAta, R
dc.contributor.authorCetin, NS
dc.date.accessioned2024-07-18T11:54:29Z
dc.date.available2024-07-18T11:54:29Z
dc.description.abstractThe power generated by wind turbines depends on several factors. One of them is the power factor also known as blade efficiency. In this study, the power factor is predicted using Artificial Neural Networks (ANN) and comparisons made with conventional model approach for the selected turbine profiles mostly used in practice. The study has shown that the prediction of power factors from seven input parameters by ANN yields better results than those of the conventional model.
dc.identifier.issn1303-0914
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/6382
dc.language.isoEnglish
dc.publisherISTANBUL UNIV, FAC ENGINEERING
dc.titleNEURAL PREDICTION OF POWER FACTOR IN WIND TURBINES
dc.typeArticle

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