Fraud detection in registered electricity time series
The analysis of anomalous time series is useful to detect of suspicious customers. XMR control charts are adapted to time series analysis of suspicious customers. Energy drop in the last series is dominant sign in suspicious customers detection. RT1-4 tests on X, and RT1,4 tests on R chart have the highest percentage of success. In series of suspicious customers it is noticed alternating positive autocorrelation.
fraud time series the process registered consumption drop control limits rules