Capítulo de Libro
Autoría
Facundo Orte
;
Anabela Lusi
;
Facundo Carmona
;
Raul D'Elia
;
A. Pazmiño
;
Elian A Wolfram
Fecha
2021
Editorial y Lugar de Edición
IEEE
Libro
2021 XIX Workshop on Information Processing and Control (RPIC)
(pp. 1-4)
IEEE
IEEE
ISBN
978-1-83880-979-9
Resumen
Información suministrada por el agente en
SIGEVA
Accurate information of solar radiation from satellites is crucial for many applications, mainly in regions with lack of ground-based measurements. In this sense, comparison with ground-based measurement is necessary to ensure the reliability of the information. In this work, the daily global solar irradiation data from NASA?s Prediction of Worldwide Energy Resources (NASA-POWER; power.larc.nasa.gov) were compared with ground-based measurements in the 8 stations of the Saver-Net solar irradianc...
Accurate information of solar radiation from satellites is crucial for many applications, mainly in regions with lack of ground-based measurements. In this sense, comparison with ground-based measurement is necessary to ensure the reliability of the information. In this work, the daily global solar irradiation data from NASA?s Prediction of Worldwide Energy Resources (NASA-POWER; power.larc.nasa.gov) were compared with ground-based measurements in the 8 stations of the Saver-Net solar irradiance network (http://www.savernet-satreps.org/en) installed in the south of South America. A linear regression analysis was performed to analyze the agreement between satellite data and ground-based measurements. The coefficient of determination shows very good correspondence with a mean value of 0.95. The mean absolute error (0.63 kWh/m 2 /d) and the root mean squared error (0.48 kWh/m 2 /d) reflect a low difference.
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Palabras Clave
ground basedsolar radiationcomparisonsatellite