vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff11c7200000007d4b050001000700 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.
Manju Khanna1, N.K. Srinath2, .K. Mendiratta3
R.V. College of Engineering, India1, R.V. College of Engineering, India2, Jain University, India3
Lifting wavelets, soft computing, fuzzy logic, neural network, scholastic
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| Published By :
ICTACT
Published In :
ICTACT Journal on Soft Computing
( Volume: 7 , Issue: 1 , Pages: 1338-1343 )
Date of Publication :
October 2016
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359
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