CMIP6

该数据集是CMIP6系列，提供了包括风速、大气压力和温度等变量的气候预测数据，这些数据被用作训练深度神经网络模型的输入，以模拟风力发电。此外，为了与不同时间分辨率记录的风力发电数据对齐，该数据集还需要进行空间和时间上的插值处理。任务是对风力发电进行模拟和预测。

This dataset is part of the CMIP6 series, providing climate projection data encompassing variables such as wind speed, atmospheric pressure, and temperature. These data are utilized as input for training deep neural network models to simulate wind power generation. Furthermore, spatial and temporal interpolation processing must be performed on this dataset to align with wind power generation data recorded at varying temporal resolutions. The core task of this dataset is to simulate and forecast wind power generation.