Comparison And Validation Of Regression Model For Estimation Of Global Solar Radiation Using Python

The major purpose behind this paper is to compare linear, quadratic and cubic regression analysis for estimation of global solar radiation and validating them by comparing the calculated data with the standard measured data given by metrological department for providing a suitable model for estimation. This paper analyses the Angstrom-Prescott's model, Ogleman's model and Samuel's model are used for estimation of global solar radiation. After the experimental data being collected from the aforesaid models the data is being validated using Mean Absolute Percentage Error, Mean Bias Error, Root Mean Square Error, t-statistic. After the validation, a comparative study of the aforesaid models is done and finally a suitable model has been put forward.