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A Case Study on Regression Model Based Outlier Detection

机译:基于回归模型的离群值检测实例

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Based on the introduction of the state-of-the-art outlier detection technologies and their principles, a regression model based outlier detection method is illuminated particularly. Then we apply this method to detect the outliers of energy consumption data of a real coke-oven plant to find an effective energy saving way for the plant.
机译:在介绍最新的离群值检测技术及其原理的基础上,重点介绍了基于回归模型的离群值检测方法。然后,我们将该方法应用于检测实际焦炉厂能耗数据的异常值,从而找到一种有效的节能方法。

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