基于大数据分析的电力营销稽查全过程监测技术研究  

Research on Whole Process Monitoring Technology of Electric Marketing Inspection Based on Big Data Analysis

作　　者：张文冰 刘灵蛟 刘雪敏 ZHANG Wen-bing;LIU Ling-jiao;LIU Xue-min(Dongguan Power Supply Bureau,Dongguan 523000 China)

机构地区：[1]东莞供电局,广东东莞523000

出　　处：《自动化技术与应用》2024年第12期204-206,215,共4页Techniques of Automation and Applications

摘　　要：为了提高电力营销稽查全过程监测的准确性,设计基于大数据分析的电力营销稽查全过程监测技术。筛选与清洗电力营销稽查数据,采用聚类算法提取电力营销数据负荷模式,并对提取负荷模式对应温度与湿度数据进行分析,修正相关系数;采用大数据分析技术对待测日负荷曲线和修正后的典型负荷模式曲线进行相似性匹配,确定用电异常情况,实现基于大数据分析的电力营销稽查全过程监测。实验结果表明,所提技术提高了负荷情况监测准确性,并且在2 min之内能够完成用电异常数据的提取与相关数据的获取,满足电力营销稽查全过程监测需求。In order to improve the accuracy of the whole process monitoring of power marketing audit,the whole process monitoring technology of power marketing audit based on big data analysis is designed.It screens and cleans power marketing inspection data,uses clustering algorithm to extract power marketing data load pattern,and analyzes the temperature and humidity data corresponding to the extracted load pattern,and corrects the correlation coefficient,and it also uses big data analysis technology to match the similarity between the measured daily load curve and the modified typical load pattern curve,to determine the abnormal power consumption,and to realize the power consumption based on big data.This paper analyzes the whole process monitoring of power marketing audit.The experimental results show that the proposed technology improves the accuracy of load monitoring,and can complete the extraction of abnormal power consumption data and the acquisition of relevant data within 2 minutes,meeting the needs of the whole process monitoring of power marketing audit.

关 键 词：大数据分析 电力营销稽查 监测 筛选 清洗 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]