Machine intelligence aware electricity theft detection for smart metering applications-Reference-Cited by-同舟云学术

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Machine intelligence aware electricity theft detection for smart metering applications

Published:2023-07-25 Issue: Volume: Page:1-21
ISSN:1745-5030
Container-title:Waves in Random and Complex Media
language:en
Short-container-title:Waves in Random and Complex Media

Author:

Munawar Shoaib¹,Khan Zeeshan Aslam¹,Chaudhary Naveed Ishtiaq²,Javaid Nadeem³,Raja Muhammad Asif Zahoor²

Affiliation:

1. Department of Electrical and Computer Engineering, International Islamic University, Islamabad, Pakistan

2. Future Technology Research Center, National Yunlin University of Science and Technology, Douliou, Yunlin, Taiwan

3. Department of Computer Science, COMSATS University Islamabad, Islamabad, Pakistan

Publisher

Informa UK Limited

Subject

General Physics and Astronomy,General Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/17455030.2023.2239368

Reference57 articles.

1. A Multi-Sensor Energy Theft Detection Framework for Advanced Metering Infrastructures

2. Simulation of GSM Based Smart Energy Meter Presenting Electric Theft Detection and Prevention Mechanism by Using Arduino

3. Electricity Theft Detection in Smart Grids Using a Hybrid BiGRU–BiLSTM Model with Feature Engineering-Based Preprocessing

4. A Tunable Fraud Detection System for Advanced Metering Infrastructure Using Short-Lived Patterns

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1. A novel design of layered recurrent neural networks for fractional order Caputo–Fabrizio stiff electric circuit models;Modern Physics Letters B;2024-05-18

2. Novel design of recurrent neural network for the dynamical of nonlinear piezoelectric cantilever mass–beam model;The European Physical Journal Plus;2024-01-03

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