Outliers' detection and filling algorithms for smart metering centers
Outliers' detection and filling algorithms for smart metering centers
复制标题
智能计量中心的异常值检测和填充算法
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
J. M. Schiochet
中科院分区：
文献类型：
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作者：
Ricardo Mion do Nascimento;A. P. Oening;D. C. Marcilio;A. R. Aoki;E. de Paula Rocha;J. M. Schiochet
本文总结了智能电网计量中心中应用的各种异常值检测和填充算法。本文首先展示了数据测量中的典型问题，特别是考虑到智能计量基础设施。目的是讨论和测试检测和填充算法在几个负载时间序列的真实的分布公用事业。这些算法的影响下的数据挖掘方法进行评估，结果表明，可以在其他应用程序中获得的好处，如负荷预测。
This paper summarizes diverse outliers' detection and filling algorithms applied to metering centers of smart grids. The paper first shows typical problems in data measuring, especially considering smart metering infrastructure. The objective is to discuss and test detection and filling algorithms in several load time series of a real distribution utility. The impact of these algorithms is evaluated under a data mining approach, and results demonstrate the benefits that can be obtained in other applications like, load forecasting.