阿辽沙·叶,顾君,张小秋

• 1:中国电力科学研究院
• 2:南京新联电子股份有限公司

摘要(Abstract)：

在用电信息采集系统中经常因各种原因导致台区档案的不精确,人工识别台区的方法耗时费力且人工成本很高,而专用设备识别方法的设备成本很高,同时也增加了电力人员的工作量。为了解决上述问题,通过分析发现同一台区电能采集设备的电压数据存在时间和空间相关性,在此基础上采用数据挖掘中的分类方法将每个台区的采集设备划分为一类,通过计算待识别的采集设备归属于各个分类的概率判断其台区归属关系。该方法既能保证识别效率又能减少设备成本和人员工作量。仿真结果表明该方法具有较高的识别精度。

关键词(KeyWords)： 用电信息采集系统;电能采集设备;时间相关性;空间相关性;台区识别;分类

Abstract:

Keywords:

基金项目(Foundation): 国家电网公司科技项目资助项目(JLB17201600099)~~

作者(Author): 阿辽沙·叶,顾君,张小秋

DOI: 10.16652/j.issn.1004-373x.2018.04.008

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