Dataset Used for Wind Power Forecasting Experiment

Dataset 1: "总数据 2 年 6 维度.csv" (2-Year 6-Dimension Dataset, CSV Format)

Time span: Covers a 2-year continuous observation period, providing long-term and stable wind power-related data support.

Data dimensions: Includes 6 key variables, which are inferred to be core indicators for wind power forecasting (consistent with the research direction of the paper), such as wind speed, wind direction, ambient temperature, air pressure, actual wind power output, and wind turbine operating status.

File format: Saved in CSV (Comma-Separated Values) format, which is compatible with most data analysis tools (e.g., Python, MATLAB, Excel) and convenient for data preprocessing, feature engineering, and model training.

Dataset 2: "宁夏麻黄山第一风电场_数据.xlsx" (Data from Ningxia Mahuangshan No.1 Wind Farm, Excel Format)

Data source: Derived from the actual operation of Ningxia Mahuangshan No.1 Wind Farm, ensuring high authenticity and practical application value of the data.

Data characteristics: It is real-world wind farm operation data, which can reflect the actual fluctuations of wind power output under complex weather conditions and terrain environments in the Ningxia region.

File format: Stored in Excel (XLSX) format, with clear table structure and easy-to-read data labels. It may include multiple worksheets (e.g., separate sheets for daily data, hourly data, or different wind turbine data) to facilitate classified data extraction and analysis.