Modelo híbrido de predicción de fallas para los aerogeneradores de la Central Eólica Villonaco utilizando inteligencia artificial y datos del sistema SCADA
Wind energy has emerged as a promising alternative to the use of fossil fuels, becoming one of the fastest-growing sources of renewable energy worldwide. Despite its advantages, the efficiency of wind energy is limited by the costs associated with operation and maintenance (O&M), which represent...
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| Format: | bachelorThesis |
| Language: | spa |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://dspace.unl.edu.ec/jspui/handle/123456789/29974 |
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