Method for detecting anomalies in a distribution network

The invention relates to a distribution network provided with sensors. The method includes the following steps: acquiring for each sensor a time series of physical measurements separated by time intervals; defining time windows each corresponding to a plurality of consecutive time intervals; extracting operational features of each time series in each time window; forming for each time window at least one current vector having as coordinates the operational features, structural data relating to the network and temporary features specific to the time window; comparing the current vector with preceding vectors, corresponding to preceding time windows, and in which the temporal features and the structural data are similar to those of the current vector; and reporting an anomaly if the current vector differs significantly from said preceding vectors.