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pro vyhledávání: '"Asmaa El Fahli"'
Autor:
Younes Ledmaoui, Asmaa El Fahli, Adila El Maghraoui, Abderahmane Hamdouchi, Mohamed El Aroussi, Rachid Saadane, Ahmed Chebak
Publikováno v:
Computers, Vol 13, Iss 9, p 235 (2024)
This paper presents a comprehensive and comparative study of solar energy forecasting in Morocco, utilizing four machine learning algorithms: Extreme Gradient Boosting (XGBoost), Gradient Boosting Machine (GBM), recurrent neural networks (RNNs), and
Externí odkaz:
https://doaj.org/article/ce8e817b99eb41b7925acf539acf563d
