袁翔宇,张蓬鹤,熊素琴,赵 波,李求洋.一种基于组合算法的异常用电模式辨识方法[J].电测与仪表,2023,60(6):160-166. Yuan Xiangyu,Zhang Penghe,Xiong Suqin,Zhao Bo,Li Qiuyang.Identification of Abnormal Power Consumption Mode Based on Combination Algorithm[J].Electrical Measurement & Instrumentation,2023,60(6):160-166.
一种基于组合算法的异常用电模式辨识方法
Identification of Abnormal Power Consumption Mode Based on Combination Algorithm
In a bid to detect abnormal electricity consumption of power users, a method for identifying abnormal electricity consumption mode based on unsupervised combination algorithm was proposed. The proposed identification method consists of three parts: data processing, feature extraction and outlier detection. Firstly, the power consumption and related data of the users are obtained, and the data is cleaned and the missing value is supplemented. Then feature extraction is carried out on the data to obtain the corresponding features for abnormal electricity use recognition. Afterwards, k_ means was used to cluster the users into two groups, and principal component analysis was performed on each group to optimize the feature space. Lastly, the outlier proximity is calculated, and abnormal power users were identified by 2 sigma principle. This method improves the identification efficiency by combining clustering, optimization of feature space and outlier detection. The simulation experiment of abnormal power user identification is carried out with real power consumption data, and the identification results verify the effectiveness of the method.
