数据挖掘技术在电力企业大数据的应用  

Application of Data Mining Technology in Big Data of Electric Power Company

作　　者：孙常鹏[1] 戴斐斐 张耀心 季忠俊 李博 SUN Chang-peng;DAI Fei-fei;ZHANG Yao-xin;JI Zhong-jun;LI Bo(State Grid Tianjin Electric Power Company,Tianjin 300010)

机构地区：[1]国网天津市电力公司,天津300010

出　　处：《数字技术与应用》2020年第9期51-53,共3页Digital Technology & Application

摘　　要：新世纪下,电力企业在日常经营管理中,每天都会产生大量的数据信息,如输变电设备管理、运行、检修、电网维护等方面的数据。面临如此纷繁复杂的多维大数据集,电力企业常常很难迅速找到需要的有效信息。所以,应积极引进数据挖掘专业技术,来从这些海量的数据集当中,便捷地提取要用到的资料,并加以分析和处理。基于此,本文从电力企业出发,主要探讨了数据挖掘专业技术在大数据方面的应用,仅供参考。In the new century,power companies generate a lot of data every day in their daily operations and management,such as data on power transmission and transformation equipment management,operation,maintenance,and grid maintenance.Faced with such complicated multi-dimensional large data sets,it is often difficult for power companies to quickly find the effective information they need.Therefore,we should actively introduce data mining expertise to easily extract the required data from these massive data sets,and analyze and process it.Based on this,this article starts from power companies and mainly discusses the application of data mining expertise in big data,for reference only.

关 键 词：大数据 电力企业 数据挖掘 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]