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User Electricity Consumption Pattern Optimal Clustering Method for Smart Gird

To select the optimal number of clusters for the user's intelligent behavior in the context of big data, a cluster number optimization method for user behavior analysis is proposed. Firstly, this paper is based on the research of feature optimization method for the behavior analysis of intelligent electricity users in the early stage. Then, the optimal cluster number selection method is proposed in this paper, and the optimal cluster number is determined by considering the accuracy rate index and correlation coefficient index comprehensively. Finally, this paper takes Irish electricity data as data source to carry out experimental simulation. The simulation results show that the proposed method can select a reasonable number of clusters and effectively improve the data clustering effect of the analysis of electrical behavior.