An advanced statistical method for wind power forecasting

IEEE Transactions on Power Systems

Volumn 22, Issue 1, 2007, Pages 258-265

  Sideratos, George ^a   Hatziargyriou, Nikos D ^a  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

Fuzzy sets; Radial base function networks; Self organized map; Wind power forecasting

Indexed keywords

ARTIFICIAL INTELLIGENCE; ELECTRIC POWER GENERATION; ELECTRIC POWER MEASUREMENT; FUZZY SETS; RADIAL BASIS FUNCTION NETWORKS; SELF ORGANIZING MAPS; WEATHER FORECASTING;

OPERATIONAL PLANNING; WIND FARM; WIND SPEED;

WIND POWER;

EID: 33947303690     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2006.889078     Document Type: Article

References (22)

1. B. Parsons, M. Milligan, B. Zavadil, D. Brooks, B. Kirby, K. Dragoon, and J. Caldwell, "Grid impacts of wind power: A summary of recent studies in the United States," in Proc. EWEC, Madrid, Spain, 2003.
2. R. Doherty and M. O'Malley, "Quantifying reserve demands due to increasing wind power penetration," in Proc. IEEE Power Tech Conf., Bologna, Italy, 2003, vol. 2, pp. 23-26.
3. R. Doherty and M. O'Malley, "A new approach to quantify reserve demand in systems with significant installed wind capacity," IEEE Trans. Power Syst., vol. 20, no. 2, pp. 587-595, May 2005.
4. N. Hatziargyriou, A. Tsikalakis, A. Dimeas, D. Georgiadis, A. Gigantidou, J. Stefanakis, and E. Thalassinakis, "Security and economic impacts of high wind power penetration in island systems," in Proc. Cigre Session, Paris, France, 2004.
5. N. Hatziargyriou, G. Contaxis, M. Matos, J. A. P. Lopes, G. Kariniotakis, D. Mayer, J. Halliday, G. Dutton, P. Dokopoulos, A. Bakirtzis, J. Stefanakis, A. Gigantidou, P. O'Donnell, D. McCoy, M. J. Fernandes, J. M. S. Cotrim, and A. P. Figueira, "Energy management and control of island power systems with increased penetration from renewable sources," in Proc. Power Eng. Soc. Winter Meeting, Jan. 2002, vol. 1, no. 27-31, pp. 335-339.
6. E. D. Castronuovo and J. A. P. Lopes, "On the optimization of the daily operation of a wind-hydro power plant," IEEE Trans. Power Syst., vol. 19, no. 3, pp. 1599-1606, Aug. 2004.
7. M. C. Alexiadis, P. S. Dokopoulos, and H. S. Sahsamanoglou, "Wind speed and power forecasting based on spatial correlation models," IEEE Trans. Energy Convers., vol. 14, no. 3, pp. 836-842, Sep. 1999.
8. T. G. Barbounis, J. B. Theocharis, M. C. Alexiadis, and P. S. Dokopoulos, "Long-term wind speed and power forecasting using local recurrent neural network models," IEEE Trans. Energy Convers., vol. 21, no. 1, pp. 273-284, Mar. 2006.
9. L. Landberg, G. Giebel, H. A. Nielsen, T. Nielsen, and H. Madsen, "Short-term prediction - An overview," Wind Energy (Special Review Issue on Advances in Wind Energy), vol. 6, no. 3, pp. 273-280, Jun. 2003.
10. G. Giebel, L. Landberg, G. Kariniotakis, and R. Brownsword, "State-of-the-art on methods and software tools for short-term prediction of wind energy production," in Proc. EWEC, Madrid, Spain, 2003.
11. G. Giebel, R. Brownsword, and G. Kariniotakis, The State of the Art in Short-Term Prediction of Wind Power: A Literature Overview. Online. Available: http://anemos.cma.fr (deliverable D1.1 of ANEMOS project).
12. T. S. Nielsen and H. Madsen, "Statistical methods for predicting wind power," in Proc. EWEC, Dublin, Ireland, Oct. 1997.
13. T. S. Nielsen, H. Madsen, and Tofting, "Experiences with statistical methods for wind power prediction," in Proc. Global Windpower Conf. Exhib., Paris, France, Apr. 2-5, 2002.
14. G. Giebel, L. Landberg, T. S. Nielsen, and H. Madsen, "The zephyr project - The next generation prediction system," in Proc. Global Windpower Conf. Exhib., Paris, France, Apr. 2-5, 2002.
15. I. Sanchez, J. Usaola, O. Ravelo, C. Velasco, J. Dominguez, M. G. Lobo, G. Gonzalez, and F. Soto, "SIPREOLICO - A wind power prediction system based on flexible combination of dynamic models. Application to the Spanish Power System," presented at the The World Wind Energy Conf., Berlin, Germany, June 2002.
16. B. Bailey, M. C. Brower, and J. Zack, "Short-term wind forecasting," in Proc. EWEC, Nice, France, 1999, pp. 1062-1065.
17. B. Ernst, K. Rohrig, H. Regber, and P. Schorn, "Managing 3000 MW wind power in a transmission system operation center," in Proc. EWEC, Copenhagen, Denmark, 2001.
18. G. Karniotakis, G. S. Stavrakakis, and E. F. Nogaret, "Wind power forecasting using advanced neural network models," IEEE Transactions Energy Convers., vol. 11, no. 4, pp. 762-767, Dec. 1996.
19. P. Pinson and G. Kariniotakis, "Wind power forecasting using fuzzy neural networks enhanced with on-line prediction risk assessment," in Proc. IEEE Power Tech Conf., Bologna, Italy, Jun. 23-26, 2003, vol. 2, p. 8.
20. H. Madsen, G. Kariniotakis, H. A. Nielsen, T. S. Nielsen, and P. Pinson, "A protocol for standardising the performance evaluation of short-term wind power prediction models," in Proc. Global Wind-Power Conf. (CD-ROM), Chicago, IL, Mar. 28-31, 2004.
21. G. Kariniotakis, and the Anemos Team, "What performance can be expected by short-term wind power prediction models depending on site characteristics," in Proc. EWEC, London, U.K., Nov. 22-25, 2004.
22. G. Kariniotakis, and the Anemos Team, "Towards next generation sort-term forecasting of wind power," in Proc. Global WindPower Conf. (CD-ROM), Chicago, IL, Mar. 28-31, 2004.