A new strategy for wind speed forecasting using artificial intelligent methods

A new strategy in wind speed prediction based on fuzzy logic and artificial neural networks was proposed. The new strategy for fuzzy logic not only provides significantly less rule base but also has increased estimated wind speed accuracy when compared to traditional one. Meanwhile, applying the proposed approach to artificial neural network leads to less neuron numbers and less learning time process along with accurate wind speed prediction results. The experimental results demonstrate that the proposed method not only provides less computational time but also a better wind speed prediction performance.

[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]  Ervin Bossanyi,et al.  Wind Energy Handbook , 2001 .

[3]  A. Lapedes,et al.  Nonlinear signal processing using neural networks: Prediction and system modelling , 1987 .

[4]  Li-Xin Wang,et al.  A Course In Fuzzy Systems and Control , 1996 .

[5]  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).

[6]  Y. D. Song A New Approach for Wind Speed Prediction , 2000 .

[7]  Jerry M. Mendel,et al.  Generating fuzzy rules by learning from examples , 1992, IEEE Trans. Syst. Man Cybern..

[8]  J.B. Theocharis,et al.  A fuzzy model for wind speed prediction and power generation in wind parks using spatial correlation , 2004, IEEE Transactions on Energy Conversion.

[9]  Seok Hee Lee,et al.  Time Series Analysis Using Fuzzy Learning , 1994 .

[10]  P. Dokopoulos,et al.  Short-term forecasting of wind speed and related electrical power , 1998 .

[11]  Jing Shi,et al.  On comparing three artificial neural networks for wind speed forecasting , 2010 .