Using GANCNN and ERNET for Detection of Non Technical Losses to Secure Smart Grids

Using GANCNN and ERNET for Detection of Non Technical Losses to Secure Smart Grids

In this paper, two supervised learning models based solutions are proposed for Electricity Theft Detection (ETD). In the first solution, Adaptive Synthetic Edited Nearest Neighbor (ADASYNENN) is used to solve class imbalanced problem. For feature extraction, Locally Linear Embedding (LLE) technique...

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Bibliographic Details
Main Authors: Nadeem Javaid, Hira Gul, Sobia Baig, Faisal Shehzad, Chengjun Xia, Lin Guan, Tanzeela Sultana
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Electricity theft detection
gated recurrent unit
non-technical losses
random undersampling
random oversampling
smart grid
Online Access:https://ieeexplore.ieee.org/document/9465107/

Internet

https://ieeexplore.ieee.org/document/9465107/

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