vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff122c25000000cf40000001000b00 With present stress, being laid on green energy worldwide, harnessing solar energy for commercial use has importance in sizing and long-term prediction of solar radiation. However, with continuous changing environment parameters, it is quite difficult for long-term prediction of solar radiation. In the past research scholars, have carried out solar prediction only for a few days, which is insufficient to exploit the radiation for sizing and harnessing the solar energy for commercial use. To overcome this gap, present work utilizes application of lifting wavelet transform along with ANFIS to predict the radiation for long duration.
Manju Khanna, N K Srinath, J K Mendiratta
R V College of Engineering, New Delhi, India
Statistical Methods, ARIMA, RNN, Wavelet Transform, MRA, Neuro-Fuzzy Inference System, RMSE
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| Published By :
ICTACT
Published In :
ICTACT Journal on Soft Computing
( Volume: 8 , Issue: 1 , Pages: 1574-1581 )
Date of Publication :
October 2017
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