Deep Learning-based NTL Detection for Distribution Networks
Aiming at more accurate detection of non-technical losses(NTL),a detection method based on particle swarm optimization(PSO)algorithm and back propagation(BP)neural network is proposed.By comparing with conventional BP neural networks,PSO-BP neural networks have shown good performance indicated by multiple evaluation indicators,as accuracy,precision,recall,F1 Score,and AUC values have increased to 86.98％,87.20％,86.68％,86.94％,and 86.65％,respectively.The introduction of of PSO algorithm significantly improves the optimization of network weights and bias values,thereby enhancing the model's ability to detect NTL.
deep learningdistribution networknon-technical lossneural networksparticle swarm optimization
NETL
NSTL
万方数据
