SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting Challenge at KDD Cup 2022

Spatial dynamic wind power forecasting dataset (SDWPF dataset) gathered from the Baidu KDD CUP 2022 challenge was released by Longyuan Power Group, a collection of wind turbine data from their wind farm, gathered by SCADA systems that tracked and monitored the turbines. The information was updated every 10 minutes and included readings from all 134 turbines on the farm. This dataset provided a comprehensive record of the wind farm's past operations by collecting various sensor readings from each turbine. SDWPF dataset contains a total of 47,27,520 records. Each data point included a unique Wind turbine ID, day, and time of the record. Weather data was captured through wind speed and ambient temperature, while internal conditions were monitored by nacelle temperature. The dataset also detailed the direction of the turbine's nacelle, along with the pitch angles of each of the three blades. Finally, it recorded the reactive and active power generated by the turbine. 

空间动态风电功率预测数据集（SDWPF数据集）源自百度KDD CUP 2022挑战赛，由龙源电力集团发布。该数据集收录了其旗下风电场的风力发电机组运行数据，由用于跟踪监测机组的数据采集与监视控制系统（SCADA）采集得到。该数据集每10分钟更新一次，涵盖该风电场全部134台风力发电机组的运行数据。本数据集通过采集每台机组的各类传感器读数，完整记录了该风电场的历史运行情况，共计4,727,520条记录。每条数据均包含唯一的风力发电机组编号、记录日期与记录时间。气象数据通过风速与环境气温采集得到，机组内部工况则通过机舱温度进行监测；本数据集还详细记录了风力发电机组的机舱朝向，以及三片桨叶各自的桨距角，最终还记录了机组产生的无功功率与有功功率。