Analysis of Electricity Consumption Patterns in Industrial Enterprises Based on Adaptive Clustering Algorithm
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.
data mininganalysis of electricity consumption modeindustrial enterprisecluster analysisself-adaption
NETL
NSTL
万方数据
