Supplementary Data on “Assessment of a Temperature-based Artificial Neural Network Designed for Global Solar Radiation Estimation in Regions with Sparse Experimental Data.”

Published: 14 November 2024| Version 1 | DOI: 10.17632/ktrfbhf7bj.1
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Description

Table A1 shows the geographical and topographical data, as well as the Köppen-Geiger climate classification of the 414 radiometric Spanish stations used for training or validation purposes. Table A2 shows experimental values of monthly averages of maximum and minimum daily temperatures, and daily global solar irradiation on horizontal surface, as well as calculated values of monthly averages of daily extraterrestrial irradiation, for Spanish stations listed in Table A1. Table A3 shows the geographical and topographical data, as well as the Köppen-Geiger climate classification of the 16 non-Spanish stations used for validation purposes. Table A4 shows experimental values of monthly averages of maximum and minimum daily temperatures, and daily global solar irradiation on horizontal surface, as well as calculated values of monthly averages of daily extraterrestrial irradiation, for non-Spanish stations listed in Table A3.

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Institutions

Universidad de Oviedo

Categories

Artificial Neural Network, Solar Energy, Solar Radiation

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