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Prediction of global solar radiation using meteorological parameters on empirical model at mountain Region Jumla, Nepal

Author Affiliations

  • 1Institute of Engineering, Tribhuvwan University, Nepal
  • 2Institute of Engineering, Tribhuvwan University, Nepal
  • 3Institute of Engineering, Tribhuvwan University, Nepal
  • 4Institute of Engineering, Tribhuvwan University, Nepal

Res.J.chem.sci., Volume 8, Issue (1), Pages 23-29, January,18 (2018)


In this study, sunshine based Angstrom-Prescott model along with multiple linear regression model based on three meteorological parameter (relative sunshine hours, maximum and minimum temperature, minimum relative humidity) were developed to predict the monthly average global solar radiation for the year 2011 of Jumla. The estimated solar radiation from these models were compared with the measured solar radiation which were found to be in close agreement with each other. The statistical test like mean bias error (MBE), mean percentage error (MPE), root mean square error (RMSE) and coefficient of determination (R2) were performed to evaluate the model. The multiple linear regression model has a higher value of R2 (0.95) and lower value of RMSE (0.3614) which indicate a better agreement between the measured and estimated global solar radiation. It is suggested that the multiple linear model can be employed for the estimation of monthly global solar radiation on horizontal surface for Jumla and other region with similar climatic condition where radiation data are inaccessible.


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