Power User Classification Model Construction and Marketing Service Innovation Based on Vision Transformer

In the current social background of increasing power consumption, power supply companies need to satisfy the individual needs of users. Therefore, this study builds a power user classification model based on Vision Transformer (ViT) to innovate power marketing services and satisfy the individual requirements of power users. Firstly, the feature extraction method of user electricity consumption data based on ViT is studied, and then the power user classification and marketing innovation model based on improved ViT is constructed. Finally, the power user classification model based on ViT is simulated and analyzed and the application innovation strategy is proposed. The findings denote that the validation loss value of the research model is the lowest, which is 0.0205, and the highest accuracy is 98.75%. It can be seen that the research model has excellent classification ability. At the same time, the research model can be converted into the color change rule on the image according to the change trend of electricity consumption, and the power supply company can provide customized electricity consumption suggestions and preferential strategies for users with different electricity consumption behaviors according to the prediction and classification results of the model, so as to improve the level of electricity sales service.