摘要
针对电力企业自动化、信息化高速发展产生的海量电力数据,建立了基于Hadoop的数据存储管理与挖掘平台,结合My SQL数据库,Spark技术,满足了离线、实时储存和处理海量用电数据的要求;同时,结合GIS技术,将分析结果动态展示在GIS地图上,以可视化的方式展示电网各项指标及电力供需情况。本文基于此平台进行电力数据的挖掘分析并将其应用到电力系统中,能够有效地进行用电行为分析,馈线分析应用以及电力的负荷预测,实时预测与状态分析,从而进行更有效地电力管控。
In order to deal with the massive electric power data generated by the automation of power enterprise and the high-speed development of information technology,this paper establishes a Hadoopbased data storage,management and mining platform.It combines My SQL database,Spark technology and meet the requirements of offline and real-time storage and processing of massive electric power data;in the meantime,it combines GIS technology and dynamically displays the analysis results on GIS maps,which visually demonstrates the indices of power grid and the situation of electricity supply and demand.This paper conducts data mining and analysis of electric power data based on the platform and applies them in electric power system,which can effectively analyze the behavior of electricity consumption and feeder line analytic application and forecast electric load,and therefore better controls and manages the electric power system.
出处
《电子测试》
2015年第11期35-40,共6页
Electronic Test
基金
广东电网有限责任公司科技基金资助项目(K-GD2014-0777)
