Supporting data for "Towards Integrated and Efficient Artificial Intelligence-Aided Modeling of Wind Farms"
收藏DataCite Commons2025-11-10 更新2026-05-03 收录
下载链接：
https://datahub.hku.hk/articles/dataset/Supporting_data_for_Towards_Integrated_and_Efficient_Artificial_Intelligence-Aided_Modeling_of_Wind_Farms_/28917356/1
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资源简介：
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.<br>
提供机构：
HKU Data Repository
创建时间：
2025-11-10
