The invention discloses a time-sharing segmented
line loss monitoring method and
system for a distribution network, and the method comprises the steps: building and training a
line loss anomaly prediction model based on historical
line loss data, and obtaining the line loss anomaly prediction data and line /
transformer area information in a
specific time period through the line loss anomaly prediction model; the cloud platform obtains real-
time line loss data of the distribution network in real time, when the real-
time line loss data exceeds a theoretical line loss threshold value, the line loss abnormity prediction data is called for comparison, and if the line loss abnormity prediction data exceeds the real-
time line loss data, the corresponding line /
transformer area is positioned as an abnormal line loss point; and acquiring real-time
monitoring data of the corresponding line /
transformer area based on the line / transformer area information corresponding to the abnormal line loss point, judging whether the line loss occurring at the current moment is abnormal line loss, and if so, issuing alarm information to a
processing end of the corresponding line / transformer area. The
system is used for implementing the method. According to the invention, line loss abnormity judgment and line loss abnormal point positioning can be rapidly realized.