LONG TERM WIND SPEED PREDICTION USING WAVELET COEFFICIENTS AND SOFT COMPUTING

Journal Title: ICTACT Journal on Soft Computing - Year 2016, Vol 7, Issue 1

Abstract

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 is exploited, along with soft computing techniques for time series data, which is scholastic in nature.

Authors and Affiliations

Manju Khanna, Srinath N K, Mendiratta K

Keywords

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  • EP ID EP199109
  • DOI 10.21917/ijsc.2016.0185
  • Views 103
  • Downloads 0

How To Cite

Manju Khanna, Srinath N K, Mendiratta K (2016). LONG TERM WIND SPEED PREDICTION USING WAVELET COEFFICIENTS AND SOFT COMPUTING. ICTACT Journal on Soft Computing, 7(1), 1338-1343. https://europub.co.uk/articles/-A-199109