<trans-title>An Abnormal Data Identification Method of Large-scale Generation Data Based on Cluster Analysis

Zhiyong LI; Jian ZHOU; Hui YU; Shaoqing GUO

doi:10.16516/j.gedi.issn2095-8676.2018.01.005

Zhiyong LI, Jian ZHOU, Hui YU, Shaoqing GUO. An Abnormal Data Identification Method of Large-scale Generation Data Based on Cluster Analysis[J]. SOUTHERN ENERGY CONSTRUCTION, 2018, 5(1): 35-39,34. DOI: 10.16516/j.gedi.issn2095-8676.2018.01.005

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An Abnormal Data Identification Method of Large-scale Generation Data Based on Cluster Analysis

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Centralized collection technology of generation data is widely used in many power grid companies at present. To solve the abnormal data identification problem, this paper analyzed the different type of power generation. Then an abnormal data identification method of large-scale generation data based on cluster analysis was proposed. At last, the effectiveness of the proposed method was verified based on actual data from a province grid company.

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An Abnormal Data Identification Method of Large-scale Generation Data Based on Cluster Analysis

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