Survey of Machine Learning Applications in Wind Power Implementation: A Comprehensive View

The transition to renewable energy sources is essential for mitigating climate change, with wind power being a crucial component due to its maturity and scalability. However, the complexity of wind power systems necessitates innovative solutions. This survey provides a comprehensive, big-picture view of Machine Learning (ML) applications across ten key aspects of wind power implementation: planning and design, engineering and technology, production, operation and maintenance, grid integration and management, consumer services, economics and market analysis, safety and security, impact analysis, and regulation and compliance. It synthesizes recent research trends and identifies gaps, serving both as a metasurvey and a traditional survey, thus offering valuable insights for researchers, practitioners, and policymakers.