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Dergiler / Istanbul University Journal of Electrical and Electronics Engineering / 2007 / Cilt: 7 - Sayı: 2

Neural prediction of power factor in wind turbines

Numan Sabit CETIN
Rasit ATA
Sayfa
431–438
Yayın Tarihi
2022-10-18
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The study has shown that the prediction of power factors from seveninput parameters by ANN yields better results than those of the conventional model.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:The power generated by wind turbines depends on several factors.
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Temel Bulgular & Veri:One of them is the power factoralso known as blade efficiency.
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Sonuç & Katkı:The study has shown that the prediction of power factors from seveninput parameters by ANN yields better results than those of the conventional model.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

The power generated by wind turbines depends on several factors. One of them is the power factoralso known as blade efficiency. In this study, the power factor is predicted using Artificial NeuralNetworks (ANN) and comparisons made with conventional model approach for the selected turbineprofiles mostly used in practice. The study has shown that the prediction of power factors from seveninput parameters by ANN yields better results than those of the conventional model.

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Bu Makaleye Atıf Yap

CETIN, N. S., ATA, R. (2022). Neural prediction of power factor in wind turbines. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 7 - Sayı: 2, 431–438. https://ajindex.com/articles/543774

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Kaynakça (12)

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