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In order to identify the fraudulent power consumption, in this paper we propose a waveform feature extraction model for anomaly detection. Based on data mining technology, we proposed a method for detecting abnormal electricity users by combining the line loss and power analysis. By extracting the edge point sequence, we effectively identify behavioral(More)
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