Long Term Wind Speed Prediction Using Wavelet Coefficients and Soft Computing
نویسندگان
چکیده
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.
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