Machine learning-based approach to wind turbine wake prediction under yawed conditions

• Main Authors: Gajendran, Mohan Kumar, Ijaz Fazil Syed Ahmed Kabir, Vadivelu, Sudhakar, Ng, Eddie Yin Kwee
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering::Mechanical engineering; Yaw Wake Prediction; Wind Energy Optimization
• Online Access: https://hdl.handle.net/10356/173107
• Institution: Nanyang Technological University

As wind energy continues to be a crucial part of sustainable power generation, the need for precise and efficient modeling of wind turbines, especially under yawed conditions, becomes increasingly significant. Addressing this, the current study introduces a machine learning-based symbolic regression...