An advanced strategy for wind speed forecasting using expert 2-D FIR filters

[1]  Intaek Kim,et al.  A fuzzy time series prediction method based on consecutive values , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[2]  Athanasios Sfetsos,et al.  A comparison of various forecasting techniques applied to mean hourly wind speed time series , 2000 .

[3]  B. Zavadil,et al.  Grid impacts of wind power: a summary of recent studies in the United States , 2003 .

[4]  Gregor Giebel,et al.  State-of-the-Art on Methods and Software Tools for Short-Term Prediction of Wind Energy Production , 2003 .

[5]  Erik Delarue,et al.  Considerations on the backup of wind power: Operational backup , 2007 .

[6]  J. Rodgers,et al.  Thirteen ways to look at the correlation coefficient , 1988 .

[7]  A. Filios,et al.  A new computational algorithm for the calculation of maximum wind energy penetration in autonomous electrical generation systems , 2009 .

[8]  Scott C. Douglas,et al.  Introduction to Adaptive Filters , 1999 .

[9]  Henrik Madsen,et al.  Short‐term Prediction—An Overview , 2003 .

[10]  Ömer Nezih Gerek,et al.  A Novel 2-D Model Approach for the Prediction of Hourly Solar Radiation , 2007, IWANN.

[11]  D. Fadare The application of artificial neural networks to mapping of wind speed profile for energy application in Nigeria , 2010 .

[12]  S. Watson,et al.  Application of wind speed forecasting to the integration of wind energy into a large scale power system , 1994 .

[13]  Zhang Yan,et al.  A review on the forecasting of wind speed and generated power , 2009 .

[14]  Henrik Madsen,et al.  A review on the young history of the wind power short-term prediction , 2008 .

[15]  Mark Nelson,et al.  The data compression book (2nd ed.) , 1995 .

[16]  P. Dokopoulos,et al.  A fuzzy expert system for the forecasting of wind speed and power generation in wind farms , 2001, PICA 2001. Innovative Computing for Power - Electric Energy Meets the Market. 22nd IEEE Power Engineering Society. International Conference on Power Industry Computer Applications (Cat. No.01CH37195).

[17]  J.B. Theocharis,et al.  Long-term wind speed and power forecasting using local recurrent neural network models , 2006, IEEE Transactions on Energy Conversion.