基于凝聚层次聚类的电力用户服务方法

Power user service method based on agglomerative hierarchical clustering

随着电网数字化转型工作的逐步推进,电力营销服务方式不断完善。为解决电力营销服务中存在的服务模式单一,用户体验差的问题,提出了基于凝聚层次聚类的电力用户服务方法。首先,对电力用户的电力数据与行为数据进行交叉分析,获得电力用户的典型数据特征;其次,采用凝聚层次聚类算法对电力用户进行分析,评估电力用户的偏好和用电趋势,并对电力用户进行画像。在此基础上,针对不同类型的电力用户制定差异化的营销服务策略,以提高电力用户的满意度。最后,在某城市应用该方法,其电力用户线上渗透率由38.2%提升至69.1%,用户满意度提升41.5%,其结果验证了该电力用户服务方法的有效性。

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 clustering is proposed. Firstly, the power data and behavior data of power users 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.