The invention relates to the
electricity-stealing-prevention technical field of low-
voltage transformer areas and provides a
local outlier factor-based low-
voltage electricity-stealing user positioning method. According to the method, firstly, k
transformer areas most similar to a monitored
transformer area are searched based on feature attributes which affect the
line loss of transformer areas, namely k nearest transformer areas are searched. Secondly, whether the
line loss rate of the monitored transformer area is abnormal or not is analyzed and judged according to the
line loss rates of k nearest transformer areas. If the line
loss rate of the monitored transformer area within a certain period of time is abnormal, a discrete Frechet distance among the load curves of all users within theabove period of time in the monitored transformer area is calculated. Finally, based on the discrete Frechet distance among the load curves of users, the
local outlier factor of the load curve of each user in the monitored transformer area is calculated. The larger the
local outlier factor, the larger the
electricity-stealing probability of the user. Based on the method, the rank ordering resultof the electricity-stealing probabilities of all users in the monitored transformer area with the abnormal line
loss rate is outputted. Therefore, most of electricity-stealing users can be detected and found out only through detecting users ranked in the top of the rank ordering result. As a result, the electricity-stealing prevention working efficiency is greatly improved.