Neural prediction of power factor in wind turbines

Ata R., Cetin N. S.

Istanbul University - Journal of Electrical and Electronics Engineering, cilt.7, sa.2, ss.431-438, 2007 (Scopus, TRDizin) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 7 Sayı: 2
  • Basım Tarihi: 2007
  • Dergi Adı: Istanbul University - Journal of Electrical and Electronics Engineering
  • Derginin Tarandığı İndeksler: Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.431-438
  • Anahtar Kelimeler: wind turbine, power factor, artificial neural networks
  • Manisa Celal Bayar Üniversitesi Adresli: Evet

Özet

The 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.