Gao Lin

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Outlier detection plays an important role for data analysis in data mining. Aiming at outlier characters of Intelligent Transportation System (ITS) such as few samples, high frequency and large range, a new outlier detection algorithm based on probability theory and fuzzy clustering method (FCM) is proposed. Firstly, the new algorithm judges data variation,(More)
Combined cycle plants have significant impact on the primary frequency regulation stability of a power system. Because of the complexity and non-linearity of combined cycle plants, the modeling is very challenging. It is important to propose a simplified mathematical model for studying primary frequency regulation characteristics of combined cycle plants.(More)
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