2026-05-23T03:37:23Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/62182024-05-14T10:46:56Zcom_10259_6231com_10259_4266com_10259.4_106com_10259_2604com_10259_6164com_10259_4534com_10259_6229com_10259_4393com_10259_5086col_10259_6232col_10259_6232col_10259_6165col_10259_6165col_10259_6230col_10259_6230col_10259_4394

00925njm 22002777a 4500 dc García Rodríguez, Ana author Granados López, Diego author García Rodríguez, Sol author Diez Mediavilla, Montserrat author Alonso Tristán, Cristina author 2021-11 In this study, ten-minute meteorological data-sets recorded at Burgos, Spain, are used to develop models of Photosynthetic Active Radiation () following two different procedures: multilinear regression and Artificial Neural Networks. Ten Meteorological Indices (MIs) are chosen as inputs to the models: clearness index (), diffuse fraction (), direct fraction (), Perez's clear sky index (ɛ), brightness index (), cloud cover (), air temperature (), pressure (), solar azimuth cosine (), and horizontal global irradiation (). The experimental data are clustered according to the sky conditions, following the CIE standard sky classification. A previous feature selection procedure established the most adequate MIs for modelling in clear, partial and overcast sky conditions. was the common MI used by all models and for all sky conditions. Additional variables were also included: the geometrical parameter, , and three variables related to the sky conditions, , and Both modelling methods, multilinear regression and ANN, yielded very high determination coefficients () with very close results in the models for each of the different sky conditions. Slight improvements can be observed in the ANN models. The results underline the equivalence of multilinear regression models and ANN models of PAR following previous feature selection procedures. 0168-1923 http://hdl.handle.net/10259/6218 10.1016/j.agrformet.2021.108627 PAR Modelling CIE standard sky classification Modelling Photosynthetic Active Radiation (PAR) through meteorological indices under all sky conditions