Polynomial model to estimate global solar radiation based on extreme temperatures for the city of Puno

Huaman C.W.T.; Mamani E.G.M.; Ramos J.R.G.; Laime H.H.F.; Mamani V.E. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2022) · DOI: 10.18687/laccei2022.1.1.457

Resumen

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.

Instituciones: Universidad Nacional de Juliaca; Universidad Nacional Intercultural de Quillabamba