A NOVEL APPROACH FOR LONG TERM SOLAR RADIATION PREDICTION

Journal Title: ICTACT Journal on Soft Computing - Year 2017, Vol 8, Issue 1

Abstract

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.

Authors and Affiliations

Manju Khanna, Srinath N K, Mendiratta J K

Keywords

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  • EP ID EP386144
  • DOI 10.21917/ijsc.2017.0220
  • Views 72
  • Downloads 0

How To Cite

Manju Khanna, Srinath N K, Mendiratta J K (2017). A NOVEL APPROACH FOR LONG TERM SOLAR RADIATION PREDICTION. ICTACT Journal on Soft Computing, 8(1), 1574-1581. https://europub.co.uk./articles/-A-386144