Classification of Consumer Behavior Analysis in Transformer Areas Under the Integrated Energy Environment

With the continuous development of the integrated energy market, the potential value of power big data is being excavated. Based on power big data, firstly, this paper classifies the transformer areas in accordance with the characteristics of the typical distribution areas. Then, the power users in the integrated energy environment are classified, and the typical power consumption mode is defined. According to the user’s power consumption index system, the preference strategy of user’s power consumption is formulated. In accordance with the characteristics of the strategy, redundant information in power consumption data can be removed, analysis performance can be improved, and analysis process can be simplified. The improved FCM is used to classify and analyze the power consumption behavior of different users. Finally, simulations on MATLAB show the effectivity of the users classification.