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A Novel Approach for Long Term Solar Radiation Prediction


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1 Department of Computer Science and Engineering, R.V. College of Engineering, India
     

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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.

Keywords

Statistical Methods, ARIMA, RNN, Wavelet Transform, MRA, Neuro-Fuzzy Inference System, RMSE.
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  • A Novel Approach for Long Term Solar Radiation Prediction

Abstract Views: 278  |  PDF Views: 4

Authors

Manju Khanna
Department of Computer Science and Engineering, R.V. College of Engineering, India
N. K. Srinath
Department of Computer Science and Engineering, R.V. College of Engineering, India
J. K. Mendiratta
Department of Computer Science and Engineering, R.V. College of Engineering, India

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.

Keywords


Statistical Methods, ARIMA, RNN, Wavelet Transform, MRA, Neuro-Fuzzy Inference System, RMSE.

References