In recent years, high loss line power theft detection technology has achieved certain results, but in the actual line operation state, there may still exist small amount of power theft users. Since these users steal small amounts of electricity, they are easy to be ignored by inspectors, leading to misjudgment of the existing power theft detection technology, so it is necessary to consider the user's own metering data changes in the power theft detection technology. In this study, a Quantile Regression Neural Network （QRNN） power theft detect...
