Leaderboards/Power Systems Fault Detection

Power Systems Fault Detection

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Alhassan Musa Oruma
Unknown
2
Jibin B. Thomas
National Institute of Technology Calicut
3
Shahriar Rahman Fahim
Texas A&M University
4
Faisal Mumtaz
National University of Sciences and Technology
5
Ahmed Sami Alhanaf
Yıldız Technical University
6
Adhishree Srivastava
Birla Institute of Technology, Mesra
7
Asiye Kaymaz Özcanlı
Fatih Sultan Mehmet Waqf University
8
Shazia Baloch
Balochistan University of Engineering and Technology
9
Salah Mokred
Southeast University
10
Habib Panahi
University of Tehran

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
Fault Detection and Classification in Ring Power System With DG Penetration Using Hybrid CNN-LSTM
IEEE Access|2024
95 cit.
3
Graph Autoencoder-Based Power Attacks Detection for Resilient Electrified Transportation Systems
IEEE Transactions on Transportation Electrification|2024
32 cit.
4
Novel protection method for AC microgrids with multiple distributed generations using Unscented Kalman filter
Electric Power Systems Research|2024
28 cit.
5
Hardware Supported Fault Detection and Localization Method for AC Microgrids Using Mathematical Morphology with State Observer Algorithm
IEEE Access|2024
24 cit.
6
Voltage stability assessment and contingency ranking in power systems based on modern stability assessment index
Results in Engineering|2024
20 cit.
7
Ultra High-Speed Fault Diagnosis Scheme for DC Distribution Systems Based on Discrete Median Filter and Mathematical Morphology
IEEE Access|2024
19 cit.
8
Forecasting EV Charging Demand: A Graph Convolutional Neural Network-Based Approach
Unknown Journal|2024
11 cit.
9
Dynamic Spatio-Temporal Planning Strategy of EV Charging Stations and DGs Using GCNN-Based Predicted Power Demand
IEEE Transactions on Intelligent Transportation Systems|2025
9 cit.
10
Graph Neural Network-Based Approach for Detecting False Data Injection Attacks on Voltage Stability
IEEE Open Access Journal of Power and Energy|2025
6 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Mahmud Mustapha
Niger State Polytechnic
2
Laura Mehrmanesh
University of California, Berkeley
3
Mou‐Fa Guo
Fuzhou University
4
Hassan Haes Alhelou
Monash University
5
Mostafa Kheshti
University of Warwick
6
Monalisa Biswal
National Institute of Technology Raipur
7
Weijie Wen
Anhui Provincial Children's Hospital
8
Sudipta Debnath
University of Prince Edward Island
9
Ritesh Raj
Amrita Vishwa Vidyapeetham
10
Benedita Antônia Dos Santos de Souza
Instituto de Ensinos Superiores da Amazônia

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
Real‐time implementation of adaptive neural backstepping controller for battery‐less solar‐powered PMDC motor
IET Power Electronics|2022
170 cit.
3
Optimal operation of pumped hydro storage-based energy systems: A compendium of current challenges and future perspectives
Renewable and Sustainable Energy Reviews|2023
154 cit.
4
Gaussian Distribution-Based Inertial Control of Wind Turbine Generators for Fast Frequency Response in Low Inertia Systems
IEEE Transactions on Sustainable Energy|2022
76 cit.
5
An Optimal Energy Hub Management Integrated EVs and RES Based on Three-Stage Model Considering Various Uncertainties
IEEE Access|2022
72 cit.
6
Decentralized Optimized Integral Sliding Mode-Based Load Frequency Control for Interconnected Multi-Area Power Systems
IEEE Access|2023
63 cit.
7
A New Multi-Output DC-DC Converter for Electric Vehicle Application
IEEE Access|2022
58 cit.
8
Design and Implementation of Single-Input-Multi-Output DC-DC Converter Topology for Auxiliary Power Modules of Electric Vehicle
IEEE Access|2022
56 cit.
9
Multi-Objective Optimization Framework for Optimal Power Flow Problem of Hybrid Power Systems Considering Security Constraints
IEEE Access|2022
53 cit.
10
Fault Phase Selection Method Based on Single-Phase Flexible Arc Suppression Device for Asymmetric Distribution Networks
IEEE Transactions on Power Delivery|2022
41 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Ali Abur
Northeastern University
2
A.G. Phadke
Virginia Tech
3
Yilu Liu
University of Tennessee at Knoxville
4
Mladen Kezunović
Texas A&M University
5
O.P. Malik
University of Calgary
6
Vijay Vittal
Arizona State University
7
T.S. Sidhu
Western University
8
Majid Sanaye‐Pasand
University of Tehran
9
Vladimir Terzija
Newcastle University
10
Ashok Kumar Pradhan
Indira Gandhi Institute of Technology

Current Senior Leaders Papers

1
Definition and Classification of Power System Stability IEEE/CIGRE Joint Task Force on Stability Terms and Definitions
IEEE Transactions on Power Systems|2004
3.7k cit.
2
Causes of the 2003 Major Grid Blackouts in North America and Europe, and Recommended Means to Improve System Dynamic Performance
IEEE Transactions on Power Systems|2005
1.3k cit.
3
Synchronized phasor measurements in power systems
IEEE Computer Applications in Power|1993
1.1k cit.
4
Synchronized Phasor Measurement Applications in Power Systems
IEEE Transactions on Smart Grid|2010
1.1k cit.
5
Wide-Area Monitoring, Protection, and Control of Future Electric Power Networks
Proceedings of the IEEE|2010
754 cit.
6
Fault location using wavelets
IEEE Transactions on Power Delivery|1998
610 cit.
7
Phasor Measurement Unit Placement Techniques for Complete and Incomplete Observability
IEEE Transactions on Power Delivery|2005
577 cit.
8
Observability analysis and measurement placement for systems with PMUs
Unknown Journal|2005
521 cit.
9
State Estimlatjon with Phasor Measurements
IEEE Transactions on Power Systems|1986
460 cit.
10
Optimized Operational Cost Reduction for an EV Charging Station Integrated With Battery Energy Storage and PV Generation
IEEE Transactions on Smart Grid|2018
440 cit.

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