Artificial intelligence applied on the operation and maintenance of wind turbines
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| Auteurs: | , , , |
|---|---|
| Formaat: | artículo original |
| Status: | Versión publicada |
| Publicatiedatum: | 2024 |
| Omschrijving: | Artificial intelligence (AI) has revolutionized the wind energy industry. Thanks to machine learning algorithms, AI has improved wind speed prediction enabling more efficient power generation and reduced operating costs. Likewise, AI has proven to be useful in analyzing the performance and maintenance of wind turbines, identifying patterns and anomalies to perform predictive work, furthermore, improve operational efficiency. The application of AI in wind energy anticipates a more promising and sustainable future. The availability of reliable data and the integration of wind energy into power grids are aspects to consider, but advances in algorithms and processing capabilities continue to drive the potential of AI. With its ability to optimize energy generation and improve turbine maintenance. AI is positioned as a key tool to drive the growth and development of wind energy globally. This work presents the most important points of the application of AI in the operation and maintenance of wind turbines. |
| Land: | Portal de Revistas TEC |
| Instelling: | Instituto Tecnológico de Costa Rica |
| Repositorio: | Portal de Revistas TEC |
| Taal: | Español |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/6922 |
| Online toegang: | https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/6922 |
| Keyword: | Wind turbines artificial intelligence maintenance wind energy Fault diagnoser turbina eólica Inteligencia artificial mantenimiento energía eólica prevención de fallas. |