Leaderboards/Power System Reliability and Maintenance

Power System Reliability and Maintenance

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Alhassan Musa Oruma
Unknown
2
Shahriar Rahman Fahim
Texas A&M University
3
Michael Abdelmalak
Pacific Northwest National Laboratory
4
Baozhong Ti
State Grid Corporation of China (China)
5
Ao Ding
Beijing Jiaotong University
6
Mojtaba Moradi‐Sepahvand
Energy Transitions (United Kingdom)
7
Chao Ren
KTH Royal Institute of Technology
8
Jesus Beyza
Universidad de Zaragoza
9
Pei Yong
Chongqing University
10
Mohammed Hamouda Ali
Al-Azhar University

Rising Stars Papers

1
Fault Detection Method based on Artificial Neural Network for 330kV Nigerian Transmission Line
International Journal of Innovative Science and Research Technology (IJISRT)|2024
1.8k cit.
2
Evolvable graph neural network for system-level incremental fault diagnosis of train transmission systems
Mechanical Systems and Signal Processing|2024
195 cit.
3
Graph Autoencoder-Based Power Attacks Detection for Resilient Electrified Transportation Systems
IEEE Transactions on Transportation Electrification|2024
32 cit.
4
Brownian Distance Covariance-Based Few-Shot Learning Framework Considering Noisy Labels for Fault Diagnosis of Train Transmission Systems
IEEE Transactions on Industrial Informatics|2024
29 cit.
5
Toward Quantum Federated Learning
IEEE Transactions on Neural Networks and Learning Systems|2025
28 cit.
6
Advances and Open Challenges in Federated Foundation Models
IEEE Communications Surveys & Tutorials|2025
25 cit.
7
A comprehensive study of recent maximum power point tracking techniques for photovoltaic systems
Scientific Reports|2025
22 cit.
8
ESQFL: Digital Twin-Driven Explainable and Secured Quantum Federated Learning for Voltage Stability Assessment in Smart Grids
IEEE Journal of Selected Topics in Signal Processing|2024
18 cit.
9
Enhancing Dynamic Security Assessment in Smart Grids Through Quantum Federated Learning
IEEE Transactions on Automation Science and Engineering|2024
13 cit.
10
Forecasting EV Charging Demand: A Graph Convolutional Neural Network-Based Approach
Unknown Journal|2024
11 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Mahmud Mustapha
Niger State Polytechnic
2
Mohammed Benidris
Michigan State University
3
Asad Mujeeb
Tsinghua University
4
Hao Su
North China Electric Power University
5
Peijie Lin
Fuzhou University
6
Ge Guo
University of Baltimore
7
Aravind Rajeswaran
University of Washington
8
Debopriya Roy Dipta
Khulna University of Engineering and Technology
9
Matthew O’Connell
Langley Research Center
10
Esmaeil Ahmadinia
Payame Noor University

Emerging Leaders Papers

1
Fault Detection Method based on Artificial Neural Network for 330kV Nigerian Transmission Line
International Journal of Innovative Science and Research Technology (IJISRT)|2024
1.8k cit.
2
Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm
Renewable and Sustainable Energy Reviews|2022
669 cit.
3
A novel method based on meta-learning for bearing fault diagnosis with small sample learning under different working conditions
Mechanical Systems and Signal Processing|2022
274 cit.
4
A novel method based on deep transfer unsupervised learning network for bearing fault diagnosis under variable working condition of unequal quantity
Knowledge-Based Systems|2022
78 cit.
5
Application of deep learning to fault diagnosis of rotating machineries
Measurement Science and Technology|2024
68 cit.
6
Enhancing Power System Operational Resilience Against Wildfires
IEEE Transactions on Industry Applications|2022
58 cit.
7
Proactive Generation Redispatch to Enhance Power System Resilience During Hurricanes Considering Unavailability of Renewable Energy Sources
IEEE Transactions on Industry Applications|2022
50 cit.
8
OpenEQA: Embodied Question Answering in the Era of Foundation Models
Unknown Journal|2024
47 cit.
9
Quantitative Resilience-Based Assessment Framework Using EAGLE-I Power Outage Data
IEEE Access|2023
45 cit.
10
Waveform Measurement Unit-Based Fault Location in Distribution Feeders via Short-Time Matrix Pencil Method and Graph Neural Network
IEEE Transactions on Industry Applications|2022
34 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Chanan Singh
Texas A&M University
2
Mark O’Malley
Imperial College London
3
Mohammad Shahidehpour
Illinois Institute of Technology
4
Nikos Hatziargyriou
National Technical University of Athens
5
Jovica V. Milanović
University of Manchester
6
Mahmud Fotuhi‐Firuzabad
Sharif University of Technology
7
Pierluigi Mancarella
The University of Melbourne
8
Daniel S. Kirschen
University of Washington
9
José M. Arroyo
University of Castilla-La Mancha
10
Zuyi Li
Zhejiang University

Current Senior Leaders Papers

1
The IEEE Reliability Test System-1996. A report prepared by the Reliability Test System Task Force of the Application of Probability Methods Subcommittee
IEEE Transactions on Power Systems|1999
3.1k cit.
2
Trends in Microgrid Control
IEEE Transactions on Smart Grid|2014
3k cit.
3
Microgrids
IEEE Power and Energy Magazine|2007
2.5k cit.
4
A Computationally Efficient Mixed-Integer Linear Formulation for the Thermal Unit Commitment Problem
IEEE Transactions on Power Systems|2006
1.7k cit.
5
MES (multi-energy systems): An overview of concepts and evaluation models
Energy|2013
1.4k cit.
6
Modeling of Lithium-Ion Battery Degradation for Cell Life Assessment
IEEE Transactions on Smart Grid|2016
1.1k cit.
7
Definition and Classification of Power System Stability – Revisited & Extended
IEEE Transactions on Power Systems|2020
1.1k cit.
8
Operation of a Multiagent System for Microgrid Control
IEEE Transactions on Power Systems|2005
1k cit.
9
Security-Constrained Unit Commitment With Volatile Wind Power Generation
IEEE Transactions on Power Systems|2008
920 cit.
10
Centralized Control for Optimizing Microgrids Operation
IEEE Transactions on Energy Conversion|2008
897 cit.

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