Research Article
A Hybrid Deep Neural Network for Electricity Theft Detection Using Intelligent Antenna-Based Smart Meters
| AMI | Advanced metering infrastructure |
| ANN | Artificial neural network | AUC | Area under curve | CFSFDP | Clustering technique by fast search and find of density peaks | CNN | Convolutional neural network | DNN | Deep neural network | DT | Decision tree | EBT | Ensemble bagged tree | EC | Electricity consumption | ETD | Electricity theft detection | GA | Genetic algorithm | GMM | Gaussian mixture model | MODWPT | Maximal overlap discrete wavelet packet transform | GRU | Gated recurrent unit | HDNN | Hybrid deep neural network | LR | Logistic regression | LSTM | Long short term memory | MEPCO | Multan electric power company | MIC | Maximum information coefficient | ML | Machine learning | NaN | Not a number | NN | Neural network | NTLs | Non-technical losses | PCA | Principal component analysis | PSO-GRU | Particle swarm optimization GRU | RE | Relative entropy | RUSBoost | Random undersampling boosting | SMOTE | Synthetic minority oversampling technique | SGCC | State Grid Corporation of China | SVM | Support vector machine | TLs | Technical losses |
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