COMPARATIVE STUDY OF WIND SPEED FORECASTING TECHNIQUES

K Kiranvishu

Sireesha K

Ramprabhakar J

Vol. 1, Jan-Dec 2015

Page Number: 65 - 75

Abstract:

Wind is one of the renewable energy resource, as it is clean energy and less in maintenance, it is alluring many researchers to work on it, but the wind is time varying in nature. It is essential to predict the wind speed for effective and efficient planning of the load demand. Forecasting is an important aid in wind speed prediction. The wind speed forecasting can effectively reduce or avoid the adverse effect of wind farm on power grid and it will also ensure the safe and economic operations of the power system. This major project is aimed to design an appropriate model for wind forecasting with less mean square error (MSE). A model is proposed to achieve above mentioned objective and it is observed that the proposed model gives the better performance than the existing models with respect to MSE

References

• Gong Li, Jing Shi *,On comparing three artificial neural networks for wind speed forecasting, Applied Energy 87 (2010) 2313–2320, www.elsevier.com/locate/apenergy
• K. Gnana Sheela* and S. N. Deepa, Performance analysis of modeling framework for wind speed prediction in wind farms, Scientific Research and Essays Vol. 7(48), pp. 4138 -4145, 10 December, 2012
• Gnana Sheela .K, Research Scholar Computing Models for Wind Speed Prediction in Renewable Energy Systems, IJCA Special Issue on “Computational Science – New Dimensions & Perspectives”, NCCSE, 2011
• Han shaug, liu yongqian, yang yongping, ”Taboo Search Algorithm based ANN Model for Wind Speed Predictoion”,IEEE Conference On Industrial Electronics And Applications On 2007
• Melam Bhaskar, Amit Jain, Member, IEEE, and N. Venkata Srinath,” Wind Speed Forecasting: Present Status”, 2010 International Conference on Power System Technology.
• Sérgio Ramos, João Soares, Marco Silva, Zita Vale, “Short-term Wind Forecasting for Energy Resources Scheduling'
• Nan Xiaoqiang, Li Qunzhan, Yu Junxiang, You Zhiyu,” Wind Speed Forecasting Based on Combination Forecasting Model”, 2010 International Conference of Information Science and Management Engineering.
• Anurag More,M.C. Deo*,”Forecasting wind with neural networks”, Marine Structures 16 (2003) 35–49,Elesivier
• Zhao Hui, Li Bin, Zhao Zhuo-qun,“Short-Term Wind Speed Forecasting Simulation Research Based on ARIMA-LSSVM Combination Method”, 978-1-61284-752-8/111$26.00 ©2011 IEEE
• P.Sibi, S.Allwyn Jones, P.Siddarth,” Analysis Of Different Activation Functions Using Back Propagation Neural Networks”, Journal of Theoretical and Applied Information Technology, 31st January 2013. Vol. 47 No.3.
• Yao Chuanan, Yu Yongchang, “A Hybrid Model to Forecast Wind Speed Based on Wavelet and Neural Network”.
• Armstrong, J. Scott (2012). 'Illusions in Regression Analysis'. International Journal of Forecasting (forthcoming) 28 (3): 689. doi:10.1016/j.ijforecast.2012.02.001
• David A. Freedman, Statistical Models: Theory and Practice, Cambridge University Press (2005).
• Ronald A. Fisher (1954). Statistical Methods for Research Workers (Twelfth ed.). Edinburgh: Oliver and Boyd. ISBN 0-05-002170-2.

Back Download