Identification and Analysis of Electricity Usage Groups under Electricity Big Data
The article takes the user data of power sales enterprises as the basis,and constructs a similarity measurement model among users by mining and analyzing multi-dimensional information such as the social attributes and power consumption behavior of power users.On this basis,a group identification algorithm based on the"user-label"two-layer network structure is proposed to efficiently identify similar groups of electricity users and obtain typical load characteristics to predict the electricity consumption behavior of new users.In order to improve the overall service level of power sales enterprises.
electric power big dataelectricity consumption behaviorgroup characteristicsidentification analysis
万方数据
