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

The dataset encompasses relevant data utilized in three projects: Towards Machine Learning Applications for Structural Load and Power Assessment of Wind Turbines: An Engineering PerspectiveHierarchical Dynamic Wake Modeling of Wind Turbines Based on Physics-Informed Generative Deep LearningKnowledge-Fusion Graph Transformer Network for Wind Farm Assessment with Sparse DataSpecifically, the dataset includes: 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.NREL5MW_Baseline.zip: Provides the open-source FAST wind turbine model used in the research.