Power load data prediction model group training method and device, equipment and medium

The embodiment of the invention relates to the technical field of model training, and discloses a power load data prediction model group training method, device and equipment and a computer readable storage medium. Performing modal decomposition on the historical power load data sequence to obtain a plurality of modal component sequences, and then determining a target original data sequence meeting a correlation requirement with the modal component sequences in the plurality of original data sequences; and combining the modal component sequences with the target original data sequences corresponding to the modal component sequences, and jointly taking the modal component sequences and the target original data sequences as training samples for model training to generate the power load data prediction model group, so that the prediction precision of the power load data prediction model group can be improved. 本申请实施例涉及模型训练技术领域，公开了一种电力负荷数据预测模型组训练方法、装置、设备及计算机可读存储介质，通过获取彼此存在相关性的历史电力负荷数据序列以及多种原始数据序列，并对历史电力负荷数据序列进行模态分解