With the gradual advancement of the digital transformation of power grid
the power marketing service mode has been continuously improved. In order to solve the problems of single service mode and poor user experience in power marketing service
a power user service method based on cohesion hierarchical cluster ing is proposed. Firstly
the power data and behavior data of powerusers are cross analyzed to obtain the typical data characteristics of power users. Secondly
the agglomerative hierarchical clustering algorithm is used to analyze the power users
evaluate the preference and power consumption trend of power users
and draw a picture of power users. On this basis
different marketing service strategies are formulated for different types of power users to improve the satisfaction of power users. Finally
when the method is applied in a city
the online penetration rate of power users is increased from 38.2%to 69.1%
and the user satisfaction is increased by 41.5%. The results verify the effectiveness of the power user service method.