Research on Classified Evaluation Feedback Algorithm for Power Network Load Identification

With the continuous development of power equipment technology research, the concepts of smart city and smart grid have been put forward, which urges enterprises to require more and more accurate services for users. Therefore, in order to realize the fine-grained perception of users’ electricity consumption and improve the efficiency of communication and interaction with users, this paper establishes a classification evaluation feedback model based on the evaluation text content of user electricity list combined with deep learning algorithm. It is used to realize the classification of evaluation text. Then, according to the classification results, an evaluation feedback mechanism is established to adjust the load identification algorithm. Through the analysis of the experimental results, the algorithm can accurately achieve the evaluation text classification, and give adjustment feedback according to the type of equipment, which has positive effects and guiding suggestions for power grid nonintrusive load identification.