Estimation of wind speed profile using adaptive neuro-fuzzy inference system (ANFIS)
暂无分享,去创建一个
[1] S. M. Shaahid,et al. Wind power resource assessment for Rafha, Saudi Arabia , 2007 .
[2] O. Ajayi. Assessment of utilization of wind energy resources in Nigeria , 2009 .
[3] António E. Ruano,et al. Intelligent Control Systems using Computational Intelligence Techniques , 2005 .
[4] Henrik Madsen,et al. Skill forecasting from ensemble predictions of wind power , 2009 .
[5] Erik Delarue,et al. Considerations on the backup of wind power: Operational backup , 2007 .
[6] J. Painuly. Barriers to renewable energy penetration; a framework for analysis , 2001 .
[7] Michael Negnevitsky,et al. ANFIS application to competition on artificial time series (CATS) , 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).
[8] H. D. Ammari,et al. Assessment of wind-generation potentiality in Jordan using the site effectiveness approach , 2003 .
[9] Shafiqur Rehman,et al. Wind shear coefficients and energy yield for Dhahran, Saudi Arabia , 2007 .
[10] D. Fadare. The application of artificial neural networks to mapping of wind speed profile for energy application in Nigeria , 2010 .
[11] Christopher J. Koroneos,et al. Exergy analysis in a wind speed prognostic model as a wind farm sitting selection tool: A case study in Southern Greece , 2009 .
[12] Mark Z. Jacobson,et al. California offshore wind energy potential , 2010 .
[13] Paul P. Mathisen,et al. WIND ENERGY RESOURCE ASSESSMENT OF WESTERN AND CENTRAL MASSACHUSETTS , 2001 .
[14] Mohd Zamri Ibrahim,et al. Wind Resource Investigation of Terengganu in the West Malaysia , 2009 .
[15] A. Filios,et al. A new computational algorithm for the calculation of maximum wind energy penetration in autonomous electrical generation systems , 2009 .
[16] Fakhri Karray,et al. Soft Computing and Tools of Intelligent Systems Design: Theory and Applications , 2004 .
[17] S. Alhajraf,et al. Potential wind power generation in the State of Kuwait , 2005 .
[18] O. Probst,et al. State of the Art and Trends in Wind Resource Assessment , 2010 .
[19] Li-Chih Ying,et al. Using adaptive network based fuzzy inference system to forecast regional electricity loads , 2008 .
[20] Figen Balo,et al. Investigation of wind characteristics and assessment of wind-generation potentiality in Uludağ-Bursa, Turkey , 2009 .
[21] Jyh-Shing Roger Jang,et al. ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..
[22] Shafiqur Rehman,et al. Statistical characteristics of wind in Saudi Arabia , 1994 .
[23] Hamdy A. Ashour,et al. Economics of off-shore/on-shore wind energy systems in Qatar , 2003 .
[24] Brian W. Raichle,et al. Wind resource assessment of the Southern Appalachian Ridges in the Southeastern United States , 2009 .
[25] S. Rehman,et al. Wind Speed and Wind Power Characteristics for Gassim, Saudi Arabia , 2009 .
[26] Jing Shi,et al. On comparing three artificial neural networks for wind speed forecasting , 2010 .
[27] Antonio J. Conejo,et al. A methodology to generate statistically dependent wind speed scenarios , 2010 .
[28] A. S. Ahmed Shata,et al. The potential of electricity generation on the east coast of Red Sea in Egypt , 2006 .
[29] A. Ilinca,et al. WIND POTENTIAL ASSESSMENT OF QUEBEC PROVINCE , 2003 .
[30] Mohamed Mohandes,et al. Wind power cost assessment at twenty locations in the kingdom of Saudi Arabia , 2003 .