Employing a Machine Learning Boosting Classifiers Based Stacking Ensemble Model for Detecting Non Technical Losses in Smart Grids-Reference-Cited by-同舟云学术

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Employing a Machine Learning Boosting Classifiers Based Stacking Ensemble Model for Detecting Non Technical Losses in Smart Grids

Published:2022 Issue: Volume:10 Page:121886-121899
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Pamir ¹^ORCID,Javaid Nadeem¹^ORCID,Akbar Mariam¹^ORCID,Aldegheishem Abdulaziz²^ORCID,Alrajeh Nabil³^ORCID,Mohammed Emad A.⁴

Affiliation:

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

2. Department of Urban Planning, College of Architecture and Planning, King Saud University, Riyadh, Saudi Arabia

3. Department of Biomedical Technology, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia

4. Department of Engineering, Faculty of Science, Thompson Rivers University, Kamloops, Canada

Funder

King Saud University, Riyadh, Saudi Arabia, Researchers Supporting Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09954034.pdf?arnumber=9954034

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