Machine-learning-based probabilistic forecasting of solar irradiance in Chile

Machine-learning-based probabilistic forecasting of solar irradiance in Chile

<p>By the end of 2023, renewable sources covered 63.4 % of the total electric-power demand of Chile, and, in line with the global trend, photovoltaic (PV) power showed the most dynamic increase. Although Chile's Atacama Desert is considered to be the sunniest place on Earth, PV power prod...

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Bibliographic Details
Main Authors:	S. Baran, J. C. Marín, O. Cuevas, M. Díaz, M. Szabó, O. Nicolis, M. Lakatos
Format:	Article
Language:	English
Published:	Copernicus Publications 2025-06-01
Series:	Advances in Statistical Climatology, Meteorology and Oceanography
Online Access:	https://ascmo.copernicus.org/articles/11/89/2025/ascmo-11-89-2025.pdf
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