Wind speed prediction using support vector regression

Proceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010

Volumn , Issue , 2010, Pages 882-886

  Zhao, Pan ^a   Xia, Junrong ^a   Dai, Yiping ^a   He, Jiaxing ^b  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b Zhongneng Power Tech Development Co Ltd   (China)

Author keywords

Back propagation neural network; Support vector regression; Time series; Wind speed; Wind speed prediction

Indexed keywords

ASCENT RATE; BACK PROPAGATION NEURAL NETWORKS; MEAN ABSOLUTE ERROR; PREDICTION GRAPH; SIMULATION RESULT; SUPPORT VECTOR REGRESSION; SUPPORT VECTOR REGRESSIONS; WHOLE PROCESS; WIND FARM; WIND SPEED; WIND SPEED FORECASTING; WIND SPEED PREDICTION;

ALGORITHMS; BACKPROPAGATION; COMPUTER SIMULATION; ELECTRIC UTILITIES; ERRORS; FORECASTING; INDUSTRIAL ELECTRONICS; REGRESSION ANALYSIS; SPEED; TIME SERIES; VECTORS; WIND EFFECTS; WIND POWER;

NEURAL NETWORKS;

EID: 77956017876     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIEA.2010.5515626     Document Type: Conference Paper

References (22)

1. T. Burtion, D. Sharpe, N. Jenkins and E. Bossanyi, Wind Energy Handbook. John Wiley and Sons, 2001.
2. M. Lei, S.Y. Luan and C.W. Jiang, "A review on the forecasting of wind speed and generated power," Renewable and Sustainable Energy Reviews, vol.13, pp.915-920, 2009.
3. B. Ernst, B. Oakleaf and M.L. Ahlstrom, "Predicting the wind," IEEE Power and Energy Magazine, vol.11, pp.79-89, 2007.
4. A. Costa, A. Crespo J. Navarro, G. Lizcano, H. Madsen and E. Feitosa, "A review on the young history of the wind power short-tem prediction," Renewble and Sustainable Energy Reviews, vol.12, pp.1725-1744, 2008.
5. A. Sfetsos, "A novel approach for the forecasting of mean hourly wind speed time series," Wind Energy, vol.27, pp.163-174, 2002.
6. R.G. Kavasseri and K. Seetharaman, "Day-ahead wind speed forecasting using f-ARIMA models," Renewble Energy, vol.34,pp.1388-1393, 2009.
7. J.L. Torres, A. Garcia, M.D. Blas and A.D. Francisco, "Forecasting of hourly average wind speed with ARMA models in Navarre (Spain)," Solar Energy, vol.79, pp.65-77, 2005.
8. E. Cadenas and W. Rivera, "Short term wind speed forecasting in La Venta, Oaxaca, Mexico using artificial neural networks," Renewable Energy, vol.34, pp.274-278, 2009.
9. A. More, M.C. Deo, "Forecasting wind with neural networks," Marine Structures, vol.16, pp.35-49, 2003.
10. T.G. Barbounis and J.B. Theocharis, "Locally recurrent neural networks for long term wind speed and power prediction," Neurocomputing, vol.69,pp.466-496, 2006.
11. R.E. Abdel-Aal, M.A. Elhadidy and S.M. Shaahid, "Modeling and forecasting the mean hourly wind speed time series using GMDH-based abductive networks," Renewable Energy, vol.34, pp.1686-1699, 2009.
12. P. Louka, G. Galanis, N. Siebert, G. Kariniotakis, P. Katsafados, I. Pytharoulis and G. Kallos, "Improvements in wind speed forecasts for wind power prediction purposes using Kalman filtering," Journal of Wind Engineering and Industrial Aerodynamics, vol.96, pp.2348- 2362,2008.
13. G.H. Riahy and M. Abedi, "Short term wind speed forecasting for wind turbine applications using linear prediction method," Renewable Energy, vol.33, pp.35-41, 2008.
14. M.C. Alexiadis, P.S. Dokopoulos dan H.S. Sahsamanoglou, "Wind speed and Power Forecasting based on Spatial Correlation Models," IEEE Transactions on Energy Conversion, vol.14, no.3, pp.836- 842,1999.
15. A.A. Khan and M. Shahidehpour, "One day ahead wind speed forecasting using wavelets," IEEE Power Systems Conference and Exposition, March 15-19,2009.
16. M.A. Mohandes, T.O. Halawani, S. Rehman and A.A. Hussain, "Support vector machines for wind speed prediction," Renewable Energy, vol.29, pp.939-947, 2004.
17. A.J. Smola and B. Scholkopf, "A tutorial on support vector regression," Statistics and Computing, vol.14,pp.199-222, 2004.
18. C. Cortes and V. Vapnik, "Support vector networks," Machine Learning, vol.20, pp.273-297, 1995.
19. V. Vapnic, Estimation of dependences based on empirical data. Springer Verlag, 1982.
20. C.C. Chang and C.J. Lin, LIBSVM: a library for support vector machines, 2001, Available at: http://www.csie.ntu.edu.tw/~cjlin/libsvm/.
21. nd edition). World Scientific, 2007.
22. K.Y. Chen, C.H. Wang, "Support vector regression with genetic algorithms in forecasting tourism demand," Tourism Management, vol.28,pp.215-226, 2007.