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The research aimed to identify a polynomial model of a lower degree to estimate the global solar radiation for the city of Puno based on the difference in extreme temperatures, for which it is considered data measured by the DAVIS meteorology station of the National University of the Altiplano of the year 2018 and the Python PolynomialFeatures instance. The adjustment of polynomial from degree 1 to 16 is carried out by calculating their respective correlation coefficients and mean error between the data measured and estimated by the polynomials where it was obtained that the polynomials greater than degree 8 present a lower growth, in this way it is established that the lowest degree polynomial to estimate solar radiation is degree 8, whose correlation coefficient is 0.7326, which does not allow daily global solar radiation values with a reliability of 73% . Concluding that it was possible to identify the lowest degree polynomial to estimate the global solar radiation which is degree 8.

The objective of this research was to identify a model to estimate solar radiation for the Puno region based on extreme temperatures. For which seven models have been considered to estimate global solar radiation, to make the adjustments of the models, d a ta from the 2016-2018 period of the DAVIS meteorological station for the city of Puno were considered, where the coefficients of the models were adjusted considering 1097 data. To choose the appropriate model, the correlation coefficient between measured and estim a ted so la r radiation data was used. Then, the data measured by SENAMHI for the thirteen provinces of the Puno region have been considered. Concluding, it was possible to identify two models to estimate solar radiation in the Puno region, considering as input variable the difference in extreme temperatures and the latitude of the place, a correlation coefficient of 0.855 was obtained for the measured and estimated solar radiation data. . . . For the estimation of solar radiation in the Puno region, the data on extreme temperatures from SENAMHI for the thirteen provinces have been considered, reaching estimates of solar radiation through the regression model of order four.

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