摘要
简单介绍了基于大数据技术的营配调数据智能匹配和识别方案的应用算法流程后,提出了运用相关性分析算法和TF-IDF算法自动识别线变、台户关系错误数据,不仅可以实现精准定位线损异常的用户,同时还能减少基层单位工作人员的工作量,值得继续推广和使用。
In brief camp with adjustable data based on the technology of large data intelligent matching and recognition process,the application of the algorithm is proposed using the correlation analysis algorithm and TF-IDF automatic identification line change,the error of data in relation to households,not only can realize accurate positioning line loss anomalies of users,at the same time also can reduce the basic unit the workload of staff,and is worth popularizing in the future work to continue to use.
作者
黄文思
陈婧
谷峪
HUANG Wen-si;CHEN Jing;GU Yu(State Grid Xintong Yili Technology Co.,Ltd.,Fuzhou 350003,China)
出处
《通信电源技术》
2019年第5期161-162,164,共3页
Telecom Power Technology
基金
国家电网公司总部科技项目"面向同期线损管理的多专业数据治理技术与挖掘应用研究"
关键词
大数据技术
营配调数据
智能匹配
big data technology
battalion allocation data
intelligent matching