Electric theft detection in advanced metering infrastructure using Jaya optimized combined Kernel‐Tree boosting classifier—A novel sequentially executed supervised machine learning approach-Reference-Cited by-同舟云学术

Electric theft detection in advanced metering infrastructure using Jaya optimized combined Kernel‐Tree boosting classifier—A novel sequentially executed supervised machine learning approach

Published:2022-01-11 Issue:6 Volume:16 Page:1257-1275
ISSN:1751-8687
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation Trans & Dist

Author:

Hussain Saddam¹^ORCID,Mustafa Mohd. Wazir¹,Ateyeh Al‐Shqeerat Khalil Hamdi²,Saleh Al‐rimy Bander Ali³,Saeed Faisal⁴

Affiliation:

1. School of Electrical Engineering Universiti Teknologi Malaysia Johor Bahru Malaysia

2. Department of Computer Science College of Computer Qassim University Buraydah Saudi Arabia

3. School of Computing Faculty of Engineering Universiti Teknologi Malaysia Johor Bahru Johor Malaysia

4. School of Computing and Digital Technology Birmingham City University Birmingham UK

Funder

Ministry of Higher Education, Malaysia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/gtd2.12386

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5. Probabilistic Peak Load Estimation in Smart Cities Using Smart Meter Data

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