A Data-Driven Method for Electricity Theft Detection Combing ConvGRU and K-means Clustering

2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2)（2021）

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摘要

As the problem of electricity theft through the tampering of smart meters continues to increase, the anomalous behavior of electricity theft becomes more diversified and is difficult to be detected. Therefore, data-driven methods are needed to detect different types of electricity theft. However, most of the features used in the existing data-driven methods are designed and selected through shallo...

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关键词

Knowledge engineering,Data preprocessing,System integration,Logic gates,Feature extraction,Data models,Smart meters

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