摘要
针对电力行业中数据量不断增加,数据分析越来越困难的问题,设计了电力大数据智能化高效分析挖掘框架,从而快速得到有价值的信息。对电力大数据中心的整体框架进行分析,主要包括服务层、验证层、数据源层、特征分析层。另外,通过分析数据挖掘的流程发现业务中需要强化的业务,实现拓展。电力大数据智能化分析挖掘技术的框架设计主要包括电力市场需求、客户分析、高性能数据分析、服务体系和数据安全治理等模块。通过电力大数据智能化挖掘实例的分析,分析结果表明,智能化的电力数据挖掘分析效果良好,具有较高的挖掘精准率。
In view of the increasing amount of data in the power industry and the increasingly difficult problem of data analysis,an intelligent and efficient analysis and mining framework of power big data is designed to quickly get valuable information.The overall framework of power big data center is analyzed,including service layer,verification layer,data source layer and feature analysis layer.In addition,by analyzing the process of data mining,we can find the business that needs to be strengthened to expand.The framework design of power big data intelligent analysis and mining technology,including power market demand,customer analysis,high⁃performance data analysis,service system and data security governance modules.The analysis of the case of big data intelligent mining is realized.The analysis results show that the intelligent power data mining analysis effect is good,with high mining accuracy.
作者
李颖杰
LI Yingjie(Shenzhen Power Supply Co.,Ltd.,Shenzhen 518000,China)
出处
《电子设计工程》
2021年第6期70-73,共4页
Electronic Design Engineering
关键词
电力大数据
挖掘技术
挖掘框架
数据分析
power big data
mining technology
mining framework
data analysis
