Using GANCNN and ERNET for Detection of Non Technical Losses to Secure Smart Grids-Reference-Cited by-同舟云学术

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

Published:2021 Issue: Volume:9 Page:98679-98700
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Javaid Nadeem,Gul Hira,Baig Sobia,Shehzad Faisal,Xia Chengjun,Guan Lin,Sultana Tanzeela

Funder

Pakistan Science Foundation

COMSATS University Isb, Pakistan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09465107.pdf?arnumber=9465107

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Electricity Theft Detection Using Rule-Based Machine Leaning (rML) Approach;Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji;2024-06-29

2. Smart Grid Security: An Effective Hybrid CNN-Based Approach for Detecting Energy Theft Using Consumption Patterns;Sensors;2024-02-09

3. Data-Driven Machine Learning Methods for Nontechnical Losses of Electrical Energy Detection: A State-of-the-Art Review;Energies;2023-11-06

4. Analysis of Predictive Models for Revealing Household Characteristics using Smart Grid Data;2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE);2023-10-23

5. Novel FDIs-based data manipulation and its detection in smart meters’ electricity theft scenarios;Frontiers in Energy Research;2022-12-28

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