Machine learning boosts wind turbine efficiency with smart failure detection and strategic placement

Abstract The research study objective seeks to improve the efficiency of wind turbines using state-of-the-art techniques in the domain of ML, making wind energy the key player in fashioning a favorable future. Wind Turbine Health Monitoring (WTHM) is typically achieved through either vibration analy...

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Principais autores:	Sekar Kidambi Raju, Muthusamy Periyasamy, Amel Ali Alhussan, Subhash Kannan, Srikanth Raghavendran, El-Sayed M. El-kenawy
Formato:	Artigo
Idioma:	Inglês
Publicado:	Nature Portfolio 2025-01-01
Series:	Scientific Reports
Assuntos:	Wind turbine health monitoring Machine learning Optimizing wind energy generation Failure detection Strategic wind turbine placement
Acceso en liña:	https://doi.org/10.1038/s41598-025-85563-5
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