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. 

由龙源电力集团发布的、源自百度KDD CUP 2022赛事的空间动态风电功率预测数据集（SDWPF数据集），收录了该集团旗下风电场的全部风力发电机组运行数据，数据由用于追踪监控机组的SCADA（数据采集与监视控制）系统采集获取。该数据集每10分钟更新一次，涵盖风场内全部134台机组的监测读数。本数据集通过采集每台机组的多类传感器读数，完整记录了该风电场的过往运行情况。SDWPF数据集总计包含4727520条数据记录，每条数据均包含唯一的风力发电机组编号、记录日期与记录时刻。气象数据涵盖风速与环境温度，机组内部状态则通过机舱温度进行监测；数据集还详细记录了风力发电机组机舱的朝向，以及三片桨叶各自的桨距角。最终，数据集还记录了机组产生的无功功率与有功功率。