Data-driven Multivariate Power Curve Modeling of Offshore Wind Turbines

a) Description: A synthetic dataset consisting of 20.000 power and wind speed values. The goal of this dataset is to objectively quantify power curve modelling techniques for wind turbines. b) Size: 580.0 kB c) Platform: Any OS or programming language can read a txt file d) Environment: As this is a txt file, any modern OS will do. The txt file consists of comma seperated values so all modern programming languages can be used to read this file. e) Major Component Description: There are 20.001 rows in the txt file. The first row indicates the headers of the columns. The other 20.000 lines indicate the corresponding values of the column. There are two columns, the first is the power and the second the wind speed. f) Detailed Set-up Instructions: This depends on the platform and programming language. Since this is a txt file with tab seperated values, a broad range of options are possible and can be looked up. g) Detailed Run Instructions: / h) Output Description: When plotting the wind speed values vs the power values using a scatter plot (e.g. matlab or python matplotlib), a power curve can be seen.

a) 数据集描述：本数据集为包含20000组功率与风速数值的合成数据集，其核心目标是对风力涡轮机的功率曲线建模技术进行客观量化评估。
b) 数据集大小：580.0千字节（kB）
c) 适配平台：任意操作系统或编程语言均可读取该文本（txt）文件
d) 运行环境：由于本数据集为文本（txt）文件，任意现代操作系统均可兼容。该文件采用逗号分隔值（CSV）格式，因此所有现代编程语言均可用于读取该文件。
e) 核心组成说明：该文本文件共计20001行数据。首行为列标题行，剩余20000行则为对应列的实际数值。本数据集共包含两列，第一列为功率值，第二列为风速值。
f) 详细搭建指南：具体操作方式取决于所使用的平台与编程语言。由于本数据集为采用制表符分隔值格式的文本（txt）文件，可选用的实现方案较多，相关细节可自行查阅资料。
g) 详细运行指南：无
h) 输出结果说明：若使用散点图（如MATLAB（matlab）或Python的Matplotlib（matplotlib）库）绘制风速值与功率值的对应关系，则可观察到功率曲线。