Comprehensive energy efficiency rating evaluation model of enterprise power based on grid big data

In the enterprise power comprehensive energy efficiency rating evaluation model, there is a problem of unclear definition of user attributes, which affects the evaluation accuracy. The enterprise power comprehensive energy efficiency rating evaluation model is designed based on power grid big data. Preprocess massive big data information, screen out effective and complete user data, establish user portrait based on power grid big data, and clarify user attribute labels. The comprehensive energy efficiency evaluation index system of enterprise power is designed according to the user portrait. Based on the evaluation of each bottom index, it is scored by the normal distribution method. Calculate the weight of the same level elements, construct the power comprehensive energy efficiency grade evaluation model, and use the clustering algorithm to realize the grade evaluation. The results show that the average accuracy of the model is 95.23%, which is 12.79% and 8.53% higher than the results of the enterprise power comprehensive energy efficiency grade evaluation model based on decision tree and random forest. Therefore, this model can effectively determine the comprehensive energy efficiency level of enterprises.