A novel technique for detecting electricity theft in secure smart grids using CNN and XG-boost
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Signal Processing,Computer Science (miscellaneous)
Reference20 articles.
1. LSTM and bat-based RUSBoost approach for electricity theft detection;Adil;Applied Sciences,2020
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2. Review on Temporal Convolutional Networks for Electricity Theft Detection with Limited Data;British Journal of Computer, Networking and Information Technology;2024-08-23
3. Abnormal Electricity Consumption Behavior Detection Based on Highway Network;Proceedings of the 5th International Conference on Computer Information and Big Data Applications;2024-04-26
4. RNN-BiLSTM-CRF based amalgamated deep learning model for electricity theft detection to secure smart grids;PeerJ Computer Science;2024-02-26
5. Electricity Theft Detection in Smart Grids Based on Omni-Scale CNN and AutoXGB;IEEE Access;2024
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