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Autor:
Maria A. F. Silva Dias, Yania Molina Souto, Bruno Biazeto, Enzo Todesco, Jose A. Zuñiga Mora, Dylana Vargas Navarro, Melvin Pérez Chinchilla, Carlos Madrigal Araya, Dayanna Arce Fernández, Berny Fallas López, Jose P. Cantillano, Roberta Boscolo, Hamid Bastani
Publikováno v:
Energies, Vol 17, Iss 22, p 5575 (2024)
The energy sector relies on numerical model output forecasts for operational purposes on a short-term scale, up to 10 days ahead. Reducing model errors is crucial, particularly given that coarse resolution models often fail to account for complex top
Externí odkaz:
https://doaj.org/article/7fa33a221f1b441090689a326c4a20eb