Implications of machine learning in the generation of renewable energies in Latin America from a globalized vision: a systematic review
The global energy industry fundamentally transformed towards renewable energy sources, driven by the sustainability paradigm. This shift was crucial in addressing the challenges of climate change and resource scarcity. Machine Learning (ML) played a pivotal role in enhancing the efficiency and relia...
- Autores:
-
Hernandez Palma, Hugo Gaspar
Plaza Alvarado. Jonny Rafael
García Guiliany, Jesús Enrique
Dotto, Guilherme Luiz
Gindri, Claudete
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2024
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/14207
- Acceso en línea:
- https://hdl.handle.net/11323/14207
https://repositorio.cuc.edu.co/
- Palabra clave:
- Machine learning
Power generation
Renewable energies
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)