Training and validation datasets for training probabilistic machine learning models on NREL's 10-MW reference wind turbine

This repository consists of two databases- <strong>CASE-ONSHORE</strong> and <strong>CASE-OFFSHORE</strong>, generated using OpenFAST v2.4 on NREL's 10-MW reference wind turbine for training data-driven probabilistic load surrogate models. The data is to be used for mapping 10-minute average environmental conditions to the corresponding 10-minute load statistics such as load average, fatigue and range at various locations on the tower and blades. <br>本存储库包含两个数据库，分别为<strong>CASE-ONSHORE</strong>与<strong>CASE-OFFSHORE</strong>，二者基于美国国家可再生能源实验室（National Renewable Energy Laboratory，NREL）的10兆瓦级参考风力发电机组，通过OpenFAST v2.4生成，用于训练数据驱动的概率载荷替代模型。<br>本数据集旨在将10分钟平均环境工况映射至塔筒与叶片各位置对应的10分钟载荷统计量，涵盖载荷均值、疲劳载荷及载荷幅值范围。