Aiming at the problem of choosing the optimal cluster number for electricity consumption behavior in smart grid under the background of big data

a clustering optimization strategy of electricity consumption behavior analysis is put forward. Based on the research of the feature optimization selection strategy of the electricity consumption behavior analysis in the early stage

the feature optimization selection strategy is used to extract the optimal feature set of the load curve to cluster the users' electricity data. Then the optimal strategy of clustering number is proposed

and the optimal number of clusters is determined by comprehensively considering the accuracy evaluation index and the effectiveness evaluation index. Based on the data of domestic and foreign electricity data

the experimental simulation verifies that the proposed strategy can select the reasonable number of clustering and effectively improve the clustering effect of the data of electricity consumption.