AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM APPROACH FOR PREDICTION OF POWER FACTOR IN WIND TURBINES

Cilt: 9 Sayı: 1 14 Şubat 2012
  • Rasit Ata
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AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM APPROACH FOR PREDICTION OF POWER FACTOR IN WIND TURBINES

Öz

   

Anahtar Kelimeler

Kaynakça

  1. Global Wind Energy Council News.
  2. http://www.wwindea.org/home/images/storie s/pr statistics 2007_210208_red.pdf, World WindEnergy Association press release retrieved 2008 03 18.
  3. M.A. Yurdusev, R. Ata and N.S. Çetin, “Assessment of optimum tip speed ratio in wind turbines using artificial neural networks”, Energy, 2006, 31:1817-1825.
  4. R. Ata, N.S. Çetin, “Neural Prediction of Power Factor in Wind Turbines” Istanbul University Journal of Electrical & Electronics Engineering, 2007, Vol:7, No.2, pp. 431-438.
  5. E. Cam and O. Yıldız, “Prediction of wind speed and power in the central Anatolian region of Turkey by adaptive neuro-fuzzy inference systems (ANFIS)”, Turkish J. Eng. Env. Sci. 30 2006, pp. 35- 41.
  6. A. Sfetsos, “A comparison of various forecasting techniques applied to mean hourly wind speed time series”, Renewable Energy, 21, 2000, pp. 23-35.
  7. C. Potter, M. Ringrose and M. Negnevitsky, “Short-term wind forecasting techniques for power generation”, Australasian Universities Power Engineering Conference (AUPEC 2004), 26-29 September, 2004, Brisbane, Australia.
  8. M. Negnevitsky and C.W. Potter, “Innovative short-term wind generation prediction techniques”, Power Systems Conference and Exposition, IEEE PES, Oct. 29, 2006-Nov. 1 2006, pp. 60-65.

Ayrıntılar

Birincil Dil

İngilizce

Konular

-

Bölüm

-

Yazarlar

Yayımlanma Tarihi

14 Şubat 2012

Gönderilme Tarihi

14 Şubat 2012

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2009 Cilt: 9 Sayı: 1

Kaynak Göster

APA
Ata, R. (2012). AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM APPROACH FOR PREDICTION OF POWER FACTOR IN WIND TURBINES. IU-Journal of Electrical & Electronics Engineering, 9(1), 905-912. https://izlik.org/JA49KP79YS
AMA
1.Ata R. AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM APPROACH FOR PREDICTION OF POWER FACTOR IN WIND TURBINES. IU-Journal of Electrical & Electronics Engineering. 2012;9(1):905-912. https://izlik.org/JA49KP79YS
Chicago
Ata, Rasit. 2012. “AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM APPROACH FOR PREDICTION OF POWER FACTOR IN WIND TURBINES”. IU-Journal of Electrical & Electronics Engineering 9 (1): 905-12. https://izlik.org/JA49KP79YS.
EndNote
Ata R (01 Şubat 2012) AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM APPROACH FOR PREDICTION OF POWER FACTOR IN WIND TURBINES. IU-Journal of Electrical & Electronics Engineering 9 1 905–912.
IEEE
[1]R. Ata, “AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM APPROACH FOR PREDICTION OF POWER FACTOR IN WIND TURBINES”, IU-Journal of Electrical & Electronics Engineering, c. 9, sy 1, ss. 905–912, Şub. 2012, [çevrimiçi]. Erişim adresi: https://izlik.org/JA49KP79YS
ISNAD
Ata, Rasit. “AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM APPROACH FOR PREDICTION OF POWER FACTOR IN WIND TURBINES”. IU-Journal of Electrical & Electronics Engineering 9/1 (01 Şubat 2012): 905-912. https://izlik.org/JA49KP79YS.
JAMA
1.Ata R. AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM APPROACH FOR PREDICTION OF POWER FACTOR IN WIND TURBINES. IU-Journal of Electrical & Electronics Engineering. 2012;9:905–912.
MLA
Ata, Rasit. “AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM APPROACH FOR PREDICTION OF POWER FACTOR IN WIND TURBINES”. IU-Journal of Electrical & Electronics Engineering, c. 9, sy 1, Şubat 2012, ss. 905-12, https://izlik.org/JA49KP79YS.
Vancouver
1.Rasit Ata. AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM APPROACH FOR PREDICTION OF POWER FACTOR IN WIND TURBINES. IU-Journal of Electrical & Electronics Engineering [Internet]. 01 Şubat 2012;9(1):905-12. Erişim adresi: https://izlik.org/JA49KP79YS