基于改进K-means算法的电力营销档案信息管理系统  

Electric Power Marketing Archives Information Management System Based on lmproved K-means Algorithm

作　　者：安大炜 邵琳玲 向黎藜 谭元刚 AN Da-wei;SHAO Lin-ling;XIANG Li-li;TAN Yuan-gang(State Grid Chongqing Electric Power Company Marketing Service Center,Chongqing 400023 China)

机构地区：[1]国网重庆市电力公司营销服务中心,重庆400023

出　　处：《自动化技术与应用》2024年第3期185-188,共4页Techniques of Automation and Applications

摘　　要：为满足档案管理用户需求,实现不同营销档案管理信息分类,提出改进K-means算法的电力营销档案信息管理系统。设计电能信息收编、客户缴费管理、营销报表管理及系统开发等子系统功能;利用改进的K-means方法定义系统算法,引入权重概念,将元素分配到和中心点距离最近的簇中,实现档案分类统计。仿真实验证明,该系统可实现不同营销档案的准确分类,减少响应延时,提高系统吞吐量,满足电力营销档案管理用户需求。In order to meet the needs of file management users and realize the classification of different marketing file management information,a power marketing file information management system based on improved K-means algorithm is proposed.It designs subsystem functions such as electric energy information collection,customer payment management,marketing report management and system development.The improved K-means method is used to define the system algorithm,the concept of weight is introduced,and the elements are allocated to the cluster closest to the center point to achieve file classification and statistics.Simulation experiments prove that the system can realize the accurate classification of different marketing files,reduce the response delay,improve the system throughput,and meet the needs of power marketing file management users.

关 键 词：改进K-MEANS算法 电力营销 档案信息分类 分类权重 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]