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Research of the optimization processing on initial data in smart substation based on data mining

机译:基于数据挖掘的智能变电站初始数据优化处理研究

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Recently, it is found that data reported to the master-station always presented in such a diversity and redundance with less valuable information. Therefore, This paper, through a statistical analysis of the operating data of smart substations, employing the way of data mining which with a unique advantage in handling large amounts of data, proposed an optimization processing of initial data in smart substations based on data mining, which extracting valuable information from initial data and dealing with the redundance and difficulties in classification of initial data, whereafter, to prove the quality of initial data of smart substation.
机译:最近,发现报告给主站的数据总是以这种多样性和冗余的形式呈现,而有价值的信息却很少。因此,本文通过对智能变电站运行数据的统计分析,采用数据挖掘的方式,在处理大量数据方面具有独特的优势,提出了基于数据挖掘的智能变电站初始数据的优化处理,通过从初始数据中提取有价值的信息,解决初始数据分类的冗余和困难,进而证明智能变电站初始数据的质量。

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