数据挖掘在电能质量监测数据中的应用

Application of Data Mining in Power Quality Monitoring Data

数据挖掘技术在电能质量监测数据中的应用是现阶段电能质量监测数据处理工作关注与研究的重点,对解决电能质量监测数据海量、低密度、异构严重等问题存在积极影响。本文从数据挖掘技术的相关概述出发,采用理论与实践相结合研究法进行了研究,即在文献资料梳理基础上概述了数据挖掘在电能质量监测数据中的应用作用,并结合实例探寻了数据挖掘在电能质量监测数据中的实践,以供参考。

The application of data mining technology in power quality monitoring data is the focus of current power quality monitoring data processing work,and it has a positive impact on solving the problems of massive,low-density and heterogeneous power quality monitoring data.Based on the relevant overview of data mining technology,this paper studies the combination of theory and practice,which summarizes the application of data mining in power quality monitoring data based on the literature review,and explores data mining with examples.Practical application in power quality monitoring data for reference.