[1] Monfared, M., Rastegar H., Kojabadi H. M., "A new strategy for wind speed forecasting using artificial intelligent methods", Renewable Energy, 34: 845-848, 2009.
[2] Yerebakan,
M.
, Rüzgar Enerjisi, İstanbul Ticaret Odası, Yayın No: 2001-33, 2001.
[3]
Karadeli
, S., Rüzgar Enerjisi, Temiz Enerji Vakfı, Kasım
2001.
[4] Wortman, A.J., Introduction to Wind Turbine Engineering,
Butterworths, Boston, 1983. [5] Kalogirou, S. A., "Applications of neural networks for
energy systems", Renewable Energy, 30 (7): 1075-1090,
2005.
[6] Kalogirou, S.A., "Artificial neural networks inrenewable energy systems applications: a review", Renewable and Sustainable Energy Reviews, 5 (4): 373-401, 2001.
[7] Sreelakshmi, K., Ramakanthkumar, P., "Neural Networks for Short Term Wind Speed Prediction", World Academy of Science, Engineering and Technology 18, 721-725, 2008.
[8] Kani, SAP, Ardehali, M.M., "Very short-term wind speed prediction: a new artificial neural network-Markov chain model" Energy Convers Manage, 52 (1): 738-45, 2011.
[9] Amjady, N., Keynia, F., Zareipour, H., "Short-term wind power forecasting using Ridgelet neural network" Electr PowerSystRes, 81 (12): 2099-107, 2011.
[10] Hui Liu, Chao Chen, Hong-qi Tian, Yan-fei Li., "A hybrid model for wind speed prediction using empirical mode decomposition and artificial neural networks", Renewable Energy, Vol. 48, pp. 545-556, 2012.
[11] Guo, Z.H, Wu, J, Lu, H.Y, Wang, J.Z., "A case study on a hybrid wind speed forecasting method using BP neural network." Knowl Based Syst , 24 (7): 1048-56, 2011.
[12] Liu, H, Tian, H.Q, Chen, C, Li, Y.F., "A hybrid statistical method to predict wind speed and wind power". Renew
Energy 35 (8): 1857-6, 2010.
[13] Liu, H, Tian, HQ, Li, Y.F., "Comparison of two new ARIMA-ANN and ARIMA-Kalman hybrid methods for wind speed prediction." Appl Energy, 98: 415-24, 2012.
[14] Li, G. and Shi, J., "On comparing three artificial neural networks for wind speed forecasting," Applied Energy, Vol. 87, pp. 2313-2320, 2010.
[15] Cadenas, E, Rivera, W., "Wind speed forecasting in three different regions of Mexico, using a hybrid ARIMA-ANN model." Renew Energy, 35 (12): 2732-38, 2010.
[16] Guo, Z.H., Zhao, W.G., Lu, H.Y., Wang, J.Z., "Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model." Renew Energy, 37 (1):
241-9, 2012.
[17] Bhaskar, K., Singh, S.N., "AWNN-assisted wind power forecasting using feedforward neural network." IEEE Trans Sustain Energy, 3 (2): 306-15, 2012.
[18] Hui Liu, Hong-qi Tian, Di-fu Pan, Yan-fei Li., "Forecasting models for wind speed using wavelet, wavelet packet, time series and Artificial Neural Networks", Applied Energy 107,
191-208, 2013.
[19] Öztopal, A., Kahya, C., Şahin, A.D., "Wind speed modelling
with artificial neural network", III. Ulusal Temiz Enerji
Sempozyumu, İstanbul,
Turkey, p. 415-422, 2000. [20] Öztopal, A., "Artificial neural network approach to spatial
estimation of wind velocity data", Energy Conversion and
Management, 47 (4) : 395-406, 2006. [21] Yurdusev, M.A., Ata, R., Çetin, N.S., "Assessment of
Optimum Tip Speed Ratio inWind Turbines Using Artificial
Neural Network" Energy 31: 1817-1825, 2006. [22] Lippman, R.P., "An Introduction to Computingwith Neural
Nets", IEEE ASSP Magazine, April, 4-22, 1987. [23] Akpınar, E.K ve Akpınar, S., "Determination of the Wind
Energy Potential for Maden, Turkey", Energy Convers
Manage, 45 (18-19), 2901-14, 2004. [24] Weisser, D. A., "Wind Energy Analysis of Grenada: an
Estimation Using the Weibull' Density Function",
Renewable Energy, 28, 1803-1812, 2003. [25] Deaves, D.M. and Lines, I.G., "On the Fitting of Low Mean
Wind Speed Data to the Weibull Distribution", J. Wind Eng.
Ind. Aerodyn, 66, 169-78, 1997. [26] Haralambopoulos, D.A., "Analysis of Wind Charactersistics
and Potential in the East Mediterranean-the Lesvos Case",
Renewable Energy, 6, 445-54, 1995. [27] Çelik, A.N., "A Statistical Analysis of Wind Power Density
Based on the Weibull and Rayleigh Models at Southern
Region of Turkey", Renewable Energy, 29, 593-604, 2004. [28] Ülgen, K. ve Hepbaşlı, A., "Determination of Weibull
parameters for wind energy analysis of İzmir, Turkey", Int
J Energy Res., 26, 495-506, 2002. [29] Mathew, S., Pandey, K.P., Anil Kumar, V., "Analysis of wind
regimes for energy estimation", Renewable Energy, 25:
381-399, 2002.
[30] http://www.eie.gov.tr/turkce/YEK/ruzgar/ruzgar_index.
html.
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