Long Term Wind Speed Prediction Usingwavelet Coefficients and Soft Computing

In the past researches, scholars have carried out short-term prediction for wind speed. The present work deals with long-term wind speed prediction, required for hybrid power generation design and contract planning. As the total database is quite large for long-term prediction, feature extraction of data by application of Lifting wavelet coefficients are exploited, along with soft computing techniques for time series data, which is scholastic in nature.