Supporting data for "Towards Integrated and Efficient Artificial Intelligence-Aided Modeling of Wind Farms"

<p dir="ltr">The dataset encompasses relevant data utilized in three projects:</p><ol><li>Towards Machine Learning Applications for Structural Load and Power Assessment of Wind Turbines: An Engineering Perspective</li><li>Hierarchical Dynamic Wake Modeling of Wind Turbines Based on Physics-Informed Generative Deep Learning</li><li>Knowledge-Fusion Graph Transformer Network for Wind Farm Assessment with Sparse Data</li></ol><p dir="ltr">Specifically, the dataset includes:</p><ul><li>visualization_model.mp4: Presents a visualization of a randomly selected scenario, demonstrating an 800-second time-series prediction using the PHOENIX dynamic wake model under both undisturbed and disturbed conditions.</li><li>NREL5MW_Baseline.zip: Provides the open-source FAST wind turbine model used in the research.</li></ul><p><br></p>