RNN-BiLSTM-CRF based amalgamated deep learning model for electricity theft detection to secure smart grids

RNN-BiLSTM-CRF based amalgamated deep learning model for electricity theft detection to secure smart grids

Electricity theft presents a substantial threat to distributed power networks, leading to non-technical losses (NTLs) that can significantly disrupt grid functionality. As power grids supply centralized electricity to connected consumers, any unauthorized consumption can harm the grids and jeopardiz...

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Bibliographic Details
Main Authors: Aqsa Khalid, Ghulam Mustafa, Muhammad Rizwan Rashid Rana, Saeed M. Alshahrani, Mofadal Alymani
Format: Article
Language:English
Published: PeerJ Inc. 2024-02-01
Series:PeerJ Computer Science
Subjects:
Smart gird
RNN
BiLSTM
Electricity-theft
CRF
Online Access:https://peerj.com/articles/cs-1872.pdf

Internet

https://peerj.com/articles/cs-1872.pdf

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