A Robust Hybrid Deep Learning Model for Detection of Non-Technical Losses to Secure Smart Grids

A Robust Hybrid Deep Learning Model for Detection of Non-Technical Losses to Secure Smart Grids

For dealing with the electricity theft detection in the smart grids, this article introduces a hybrid deep learning model. The model tackles various issues such as class imbalance problem, curse of dimensionality and low theft detection rate of the existing models. The model integrates the benefits...

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Bibliographic Details
Main Authors: Faisal Shehzad, Nadeem Javaid, Ahmad Almogren, Abrar Ahmed, Sardar Muhammad Gulfam, Ayman Radwan
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Electricity theft detection
gated recurrent unit
GoogLeNet
non-technical losses
smart grids
SGCC
Online Access:https://ieeexplore.ieee.org/document/9540700/

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