基于自适应聚类算法的工业企业用电模式分析  

Analysis of Electricity Consumption Patterns in Industrial Enterprises Based on Adaptive Clustering Algorithm

作　　者：应肖磊 张力 龚明波 许巍 严若婧 YING Xiaolei;ZHANG Li;GONG Mingbo;XU Wei;YAN Ruojing(State Grid(Ningbo)Integrated Energy Service Co.,Ltd.,Ningbo 315000,China;State Grid Ningbo Electric Power Supply Company,Ningbo Power Supply Company,Ningbo 315000,China)

机构地区：[1]国网(宁波)综合能源服务有限公司,浙江宁波315000 [2]国网浙江省电力有限公司宁波供电公司,浙江宁波315000

出　　处：《电工材料》2024年第4期75-77,80,共4页Electrical Engineering Materials

摘　　要：为了有效地挖掘工业企业的用电模式,提出了一种基于自适应k均值聚类算法的工业企业分类方法。该方法通过计算轮廓系数得出最佳的企业分类数,进而实现对工业企业的自适应分类。通过样例数据验证了所提出方法的可行性和有效性。试验表明:采用本文提出的方法能够有效挖掘出企业用电模式与工业产值之间的规律性信息。In order to effectively find the electricity consumption mode of industrial enterprises,a classification method for industrial enterprises based on an adaptive k-means clustering algorithm was proposed.This method calculates the Silhouette Coefficient to obtain the optimal number of classes of enterprises,and then realizes the adaptive classification of industrial enterprises.The feasibility and effectiveness of the proposed method were verified through sample data.The results show that the method proposed in this study can effectively mine the regularity information between enterprise electricity consumption patterns and industrial output values.

关 键 词：数据挖掘 用电模式分析 工业企业 聚类分析 自适应 

分 类 号：TM714[电气工程—电力系统及自动化]