Power consumer information tagging method and device, electronic equipment and storage medium

The invention provides a power consumer information tagging method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining three-phase electric meter data ofa user; clustering the three-phase electric meter data to obtain a typical load curve picture; classifying the typical load curve pictures by using a pre-trained VGG model to obtain power utilizationcharacteristic feature tags of the users; combining K-means clustering and a deep convolutional neural network to be used for power consumer information tagging, and obtaining a power consumer behavior portrait. The implementation difficulty is small, the sample size is large, all typical users can be covered, and the accuracy is high. 本发明提供一种电力用户信息标签化方法和装置、电子设备以及存储介质，该方法包括：获取一用户的三相电表数据；对该三相电表数据进行聚类得到典型负荷曲线图片；利用预训练的VGG模型对该典型负荷曲线图片进行分类得到该用户的用电特性特征标签，将K-means聚类与深度卷积神经网络结合用于电力用户信息标签化，获取电力用户行为画像，实施难度小且样本量大，能够覆盖所有典型用户，准确率高。