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    Machine learning-based approach to wind turbine wake prediction under yawed conditions by Gajendran, Mohan Kumar, Ijaz Fazil Syed Ahmed Kabir, Vadivelu, Sudhakar, Ng, Eddie Yin Kwee

    Published 2024
    “…While the model demonstrates remarkable precision in predicting wake deflection and velocity deficit at both the wake center and hub height, it shows a slight deviation at low downstream distances, which is less critical to our focus on large wind farm design. Nonetheless, our approach sets the stage for advancements in academic research and practical applications in the wind energy sector by providing an accurate and computationally efficient tool for wind farm optimization. …”
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    Journal Article
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