| Real-Time Cascading Failures Prevention for Multiple Contingencies in Smart Grids through a Multi-Agent System A Babalola, S Zarrabian, R Belkacemi IEEE Transactions on Smart Grid, 2016 | 61 | 2016 |
| Reinforcement Learning Approach for Congestion Management and Cascading Failure Prevention with Experimental Application S Zarrabian, R Belkacemi, AA Babalola Electric Power Systems Research 141, 179-190, 2016 | 44 | 2016 |
| Intelligent mitigation of blackout in real-time microgrids: Neural Network Approach S Zarrabian, R Belkacemi, AA Babalola 2016 IEEE Power and Energy Conference at Illinois (PECI), 1-6, 2016 | 30 | 2016 |
| Experimental Transient Stability Analysis of MicroGrid Systems: lessons learned R Belkacemi, S Zarrabian, A Babalola, R Craven IEEE PES General Meeting 2015, 2015 | 24 | 2015 |
| Experimental implementation of Multi-Agent System Algorithm to prevent Cascading Failure after N-1-1 contingency in smart grid systems R Belkacemi, A Babalola, S Zarrabian IEEE PES General Meeting 2015, 2015 | 19 | 2015 |
| Multi-Agent System algorithm for preventing cascading failures in smart grid systems R Belkacemi, A Babalola, S Zarrabian, R Craven North American Power Symposium (NAPS), 1-6, 2014 | 14 | 2014 |
| Adaptive Immune System Reinforcement Learning-Based Algorithm for Real-Time Cascading Failures Prevention AA Babalola, R Belkacemi, S Zarrabian, R Craven Engineering Applications of Artificial Intelligence 57, 118-133, 2017 | 9 | 2017 |
| Real-Time Cascading Failures Prevention through MAS Algorithm and Immune System Reinforcement Learning R Belkacemi, AA Babalola, S Zarrabian Electric Power Components and Systems 45 (5), 505-519, 2017 | 7 | 2017 |
| Real-time Intelligent Control and Cascading Failure Prevention in Microgrid Systems based on Neural Network Algorithm: an Experimental Approach S Zarrabian, R Belkacemi international journal of power and energy conversion, 2016 | 7 | 2016 |
| Droop-Controlled Bidirectional Inverter-Based Microgrid Using Cascade-Forward Neural Networks M Alzayed, M Lemaire, S Zarrabian, H Chaoui, D Massicotte IEEE Open Journal of Circuits and Systems 3, 298 - 308, 2022 | 5 | 2022 |
| Real-Time Smart Grids Control for Preventing Cascading Failures and Blackout using Neural Networks: Experimental Approach for N-1-1 Contingency S Zarrabian, R Belkacemi, AA Babalola International Journal of Emerging Electric Power Systems 17 (6), 703–716, 2016 | 5 | 2016 |
| Clustering-Based Optimal Operation of Charging Stations Under High Penetration of Electric Vehicles VH Bui, A Hussain, S Zarrabian, PM Kump, W Su Sustainable Energy, Grids and Networks, 2023 | 3 | 2023 |
| Hybrid Analysis for Damping Inter-Area Oscillations Using GUPFC in Power Systems S Zarrabian IEEE PES GM 2019, 2019 | 2 | 2019 |
| Position Control of Permanent Magnet Stepper Motor Considering Model Uncertainty Using Type-2 Fuzzy Robust Control Method H Chahkandi Nejad, R Jahani, S Zarrabian, H Ghiasizadeh, M Fazli, ... Australian Journal of Basic & Applied Sciences 4 (12), 2010 | 2 | 2010 |
| Experimental Dynamic Braking with Energy Storage and Power Generation Capability for Maritime Industry S Zarrabian, Y Amani, S Elsaiah IEEE PES General Meeting 2018, 2018 | 1 | 2018 |
| Temporal difference-based approach for adaptive cascading outages alleviation and stability improvement in bulk power systems S Zarrabian 2017 IEEE Power & Energy Society General Meeting, 1-5, 2017 | 1 | 2017 |
| Using Uncertainty Bounds Technique in the Design of a Real -Time Type-2 Fuzzy Robust Regulator around Operating Point of the Nonlinear System HC Nejad, R Jahani, S Zarrabian, A Zare, HA Shayanfar International Review of Automatic Control (Theory and Applications) 4 (1), 1-5, 2011 | 1 | 2011 |
| Applying SVM and RBF networks for classifying disturbances in synchronous generators based on fuzzy characteristic extraction of time zone information AR Shafighy, SM Hassan Hosseini, H Chahkandi Nejad, R Jahani, ... International Review on Modelling and Simulations 3 (5), 827-832, 2010 | 1 | 2010 |
| Deep Reinforcement Learning-Based Operation of Distribution Systems Using Surrogate Model VH Bui, S Zarrabian, W Su IEEE PES GM 2023, 2023 | | 2023 |
| Modeling and Analysis of the SUNY-Maritime College New Training Ship Power System with BESS S Zarrabian, VH Bui, TT Nguyen IEEE PES GM 2023, 2023 | | 2023 |
Bui Van-HaiAssistant Professor, Electrical and Computer Engineering at University of Michigan-DearbornE-mail megerősítve itt: umich.edu
