The invention discloses an
electricity stealing detection method and
system based on ResNetLSTM; and the method comprises the steps: collecting an
electricity consumption data sample of a user and anelectricity consumption type
label of the sample, which are collected during the normal operation of a power
system, carrying out data preprocessing of
electricity consumption data, and enabling a
data set to be divided into a
training set, a testing set and a
verification set; using an automatic
encoder to process the labels in the
training set as electricity utilization data samples for electricity stealing, and obtaining a new
training set; respectively inputting the
power consumption data of the original training set into a ResNet model and an LSTM model to carry out an electricity larcenydetection test, selecting a ResNet and LSTM neural network combined structure through a test result, building a
hybrid neural network according to the ResNet and LSTM neural network combined structure, and selecting a proper
hybrid neural
network structure through the test; performing testing by using the selected ResNet-LSTM
hybrid neural
network structure to select an appropriate neural networkoptimization method, and forming an electricity stealing detection model. The new training set is applied to
train the electricity stealing detection model, a complete electricity stealing detectionmethod is constructed, and the electricity stealing detection capability and the detection efficiency are improved.