Method and device for predicting short-term load of power system, electronic equipment and medium

The invention discloses a power system short-term load prediction method and device, electronic equipment and a medium, and the method and device are applied to the electronic equipment, and specifically comprise the steps: collecting various feature data of a to-be-predicted day; performing optimization processing on each type of feature data to obtain a plurality of types of optimization data; and inputting the plurality of optimization data into a pre-trained short-term load prediction model to obtain power load data of the day to be predicted. Through the careful research on the scheme, the scheme can optimize various characteristic data according to the short-term load prediction task characteristics, so that the accuracy of short-term load prediction of the power system is improved. 本申请公开了一种电力系统短期负荷的预测方法、装置、电子设备和介质，该方法和装置应用于电子设备，具体为采集待预测日的多种特征数据；对每种特征数据进行优化处理，得到多种优化数据；将多种优化数据输入预先训练的短期负荷预测模型，得到待预测日的电力负荷数据。通过对本方案的仔细研究可以发现，本方案针对短期负荷预测任务特点对上述各种特征数据进行了优化处理，从而提高了电力系统短期负荷预测的准确性。