‪Muhammad Uzair‬ - ‪Google Scholar‬

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Citations	45	45
h-index	4	4
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2019202020212022202320241 2 4 8 15 15

Co-authors

Li LiAssociate Professor, University of Technology SydneyVerified email at uts.edu.au
Mohsen EskandariResearch Fellow at University of New South WalesVerified email at unsw.edu.au
Joe ZhuProfessor, University of SydneyVerified email at sydney.edu.au
Jahangir HossainProfessor of Renewable Power SystemsVerified email at uts.edu.au

Muhammad Uzair

Muhammad Uzair

University of Technology Sydney, Hamdard University Karachi

Verified email at uts.edu.au - Homepage

Microgrid Protection


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Challenges, advances and future trends in AC microgrid protection: With a focus on intelligent learning methods M Uzair, L Li, M Eskandari, J Hossain, JG Zhu Renewable and Sustainable Energy Reviews 178, 113228, 2023	18	2023
A protection scheme for AC microgrids based on multi-agent system combined with machine learning M Uzair, L Li, JG Zhu, M Eskandari 2019 29th Australasian Universities Power Engineering Conference (AUPEC), 1-6, 2019	17	2019
Machine Learning Based Protection Scheme for Low Voltage AC Microgrids M Uzair, M Eskandari, L Li, J Zhu Energies 15 (24), 9397, 2022	6	2022
Identifying line-to-ground faulted phase in low and medium voltage AC microgrid using principal component analysis and supervised machine-learning M Uzair, L Li, JG Zhu 2018 Australasian Universities Power Engineering Conference (AUPEC), 1-6, 2018	4	2018

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