One day ahead prediction of wind speed using annual trends

2006 IEEE Power Engineering Society General Meeting, PES

Volumn , Issue , 2006, Pages

  El Fouly, T H M ^a,b   El Saadany, E F ^a,b   Salama, M M A ^a,b  

^a IEEE   (Canada)

^b UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Least square method; Prediction; Time series; Wind

Indexed keywords

DATA REDUCTION; ELECTRIC LOAD FORECASTING; ELECTRIC POWER SYSTEMS; MATHEMATICAL MODELS; POWER GENERATION; TIME SERIES ANALYSIS;

LEAST SQUARE METHOD; TIME SERIES MODEL; WIND POWER GENERATION; WIND SPEED FORECASTING;

WIND POWER;

EID: 35348835418     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/pes.2006.1709373     Document Type: Conference Paper

References (17)

1. "Wind Force 12", Report by the European Wind Energy Association (EWEA), October 2002, http://www.ewea.org/doc/ WindForcel2.pdf.
2. "Wind Vision for Canada", Recommendations for Achieving Canada's Wind Energy Potential, Report by the Canadian Wind Energy Association (CanWEA), June 2001, http://www.canwea.ca/pdfs/CanWEA-WindVision.pdf.
3. T.H.M. EL-Fouly, E.F. EL-Saadany, M.M.A. Salama, "A study of wind farms output power prediction techniques", Proceedings of the North American Power Symposium, NAPS 2004, August 2004, pp. 249-254.
4. Z. Huang, Z.S. Chalabi, "Use of time-series analysis to model and forecast wind speed", Journal of Wind Engineering and Industrial Aerodynamics, 56 (1995) 311-322.
5. L. Kamal, Y.Z. Jafri, "Time series models to simulate and forecast hourly averaged wind speed in Quetta, Pakistan", Solar Energy, 61 (1997) 23-32.
6. A. More, M.C. Deo, "Forecasting Wind with Neural Networks, Marine Structures" "Forecasting Wind with Neural Networks", Marine Structures, Volume: 16, Issue: 1, January - February, 2003, pp. 35-49..
7. A. Sfetsos, "A Comparison of Various Forecasting Techniques Applied to Mean Hourly Wind Speed Time Series", Renewable Energy, 21 (2000) 23-35.
8. M. Costa, E. Pasero, "Artificial Neural Systems for Verglass Forecast", Proceedings of the IJCNN '01. International Joint Conference on Neural Networks, Vol. 1, 2001. pp. 258-262.
9. M.C. Alexiadis, P.S. Dokopoulos, H.S. Sahsamanoglou, and I.M. Manousaridis, "Short-Term Forecasting of Wind Speed and Related Electric Power", Solar Energy, Volume: 63, Issue: 1, 1998, pp. 61-68.
10. S. Li, D.C. Wunsch, E. O'Hair, and M.G. Giesselmann, "Neural Network for Wind Power Generation With Compressing Function", International Conference on Neural Networks, 1997, Volume: 1, 9-12 June 1997, pp.: 115-120.
11. S. Li, D.C. Wunsch, E. O'Hair, and M.G. Giesselmann "Using Neural Networks to Estimate Wind Turbine Power Generation", IEEE Transactions on Energy Conversion, Volume: 16, Issue: 3, Sep. 2001, pp.: 276-282.
12. S. Pashardes, and C. Christofides, "Statistical Analysis of Wind Speed and Direction in Cyprus", Solar Energy, Volume: 55, Issue: 5, Nov., 1995, pp. 405-414.
13. S. H. Jangamshetti, and V.G. Rau, "Optimum Siting of Wind Turbine Generators", IEEE Transactions on Energy Conversion, Volume: 16 Issue: 1, March 2001, pp.: 8-13.
14. E.S. Gavanidou, A.G. Bakirtzis, and P.S. Dokopoulos, "A Probabilistic Method for the Evaluation of the Performance of Wind-Diesel Energy Systems", IEEE Transactions on Energy Conversion, Volume: 7 Issue: 3, Sept. 1992, pp.: 418-425.
15. L. Landberg, "A Mathematical Look at a Physical Power Prediction Model", Wind Energy Volume: 1, Issue: 1, September 1998, pp. 23-28.
16. L. Landberg, "Short-Term Prediction of the Power Production from Wind Farms", Journal of Wind Engineering and Industrial Aerodynamics, Volume: 80, Issue: 1-2, March 1, 1999, pp. 207-220.
17. U. Focken, M. Lange, K. Mönnich, H. Waldl, H. Beyer, and A. Luig, "Short-Term Prediction of the Aggregated Power Output of Wind Farms - A Statistical Analysis of the Reduction of the Prediction Error by Spatial Smoothing Effects", Journal of Wind Engineering and Industrial Aerodynamics, Volume: 90, Issue: 3, March, 2002, pp. 231-246.