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Non-Technical Losses Detection Using Autoencoder and Bidirectional Gated Recurrent Unit to Secure Smart Grids.

, , , , , and . IEEE Access, (2022)

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Alexnet-Adaboost-ABC Based Hybrid Neural Network for Electricity Theft Detection in Smart Grids., , , , , , and . CISIS, volume 278 of Lecture Notes in Networks and Systems, page 249-258. Springer, (2021)Synthetic Theft Attacks Implementation for Data Balancing and a Gated Recurrent Unit Based Electricity Theft Detection in Smart Grids., , , , , and . CISIS, volume 278 of Lecture Notes in Networks and Systems, page 395-405. Springer, (2021)Towards Energy Efficient Smart Grids: Data Augmentation Through BiWGAN, Feature Extraction and Classification Using Hybrid 2DCNN and BiLSTM., , , , , and . IMIS, volume 279 of Lecture Notes in Networks and Systems, page 108-119. Springer, (2021)Detection of Non-Technical Losses Using MLP-GRU Based Neural Network to Secure Smart Grids., , , , , and . CISIS, volume 278 of Lecture Notes in Networks and Systems, page 383-394. Springer, (2021)Electricity Theft Detection in Smart Meters Using a Hybrid Bi-directional GRU Bi-directional LSTM Model., , , , , and . CISIS, volume 278 of Lecture Notes in Networks and Systems, page 297-308. Springer, (2021)Non-Technical Losses Detection Using Autoencoder and Bidirectional Gated Recurrent Unit to Secure Smart Grids., , , , , and . IEEE Access, (2022)Sampled-analog implementation of application-specific fuzzy controllers., , , and . IEEE Trans. Fuzzy Syst., 5 (3): 431-442 (1997)Rapid learning dynamics in individual honeybees during classical conditioning, , , and . Frontiers in Behavioral Neuroscience, (2014)Regression clustering with lower error VIA EM algorithm., , and . SIU, page 979-982. IEEE, (2014)A capacitive threshold-logic gate., , , , and . IEEE J. Solid State Circuits, 31 (8): 1141-1150 (1996)