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

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

Electricity theft is considered one of the most significant reasons of the non technical losses (NTL). It negatively influences the utilities in terms of the power supply quality, grid’s safety, and economic loss. Therefore, it is necessary to effectively deal with the electricity theft p...

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Bibliographic Details
Main Authors: Pamir, Nadeem Javaid, Umar Qasim, Adamu Sani Yahaya, Eman H. Alkhammash, Myriam Hadjouni
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Autoencoder
bidirectional gated recurrent unit
deep learning algorithms
smart grid
electricity theft detection
machine learning algorithms
Online Access:https://ieeexplore.ieee.org/document/9765457/

Internet

https://ieeexplore.ieee.org/document/9765457/

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