The invention relates to the field of intelligent scheduling, and discloses a
transformer area
phase line loss detection method, device and equipment based on clustering analysis, and the method comprises the steps: obtaining
transformer area training data, carrying out the preprocessing of the
transformer area training data, carrying out the dimension reduction of the preprocessed transformer area training data, and carrying out the detection of the transformer area
phase line loss. And carrying out clustering on the transformer area training data after dimension reduction based on a
frost ice optimized density clustering RIME-
DBSCAN algorithm so as to identify different types of transformer areas, carrying out
line loss rate evaluation on the transformer area in each
cluster based on a Stacking
ensemble learning model, calculating the
line loss rate of each phase, and comparing the
line loss rate of each phase with a set threshold value so as to identify a phase and a section with abnormal line loss rates. Through the optimized
data dimension reduction method and the improved RIME-
DBSCAN clustering
algorithm, accurate detection and management of the line
loss rate of the transformer area are achieved, the
data processing efficiency and accuracy can be improved, and the method can better adapt to the operation characteristics of different transformer areas.