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    ARTICLE

    Research on Power Consumption Anomaly Detection Based on Fuzzy Clustering and Trend Judgment

    Wei Xiong1,2, Xianshan Li1,2,*, Yu Zou3, Shiwei Su1,2, Li Zhi1,2

    Energy Engineering, Vol.119, No.2, pp. 755-765, 2022, DOI:10.32604/ee.2022.018009 - 24 January 2022

    Abstract Among the end-users of the power grid, especially in the rural power grid, there are a large number of users and the situation is complex. In this complex situation, there are more leakage caused by insulation damage and a small number of users stealing electricity. Maintenance staff will take a long time to determine the location of the abnormal user meter box. In view of this situation, the method of subjective fuzzy clustering and quartile difference is adopted to determine the partition threshold. The power consumption data of end-users are divided into three regions: high, More >

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