| State of charge prediction of EV Li-ion batteries using EIS: A machine learning approach I Babaeiyazdi, A Rezaei-Zare, S Shokrzadeh Energy 223, 120116, 2021 | 214 | 2021 |
| Transfer learning with deep neural network for capacity prediction of Li-ion batteries using EIS measurement I Babaeiyazdi, A Rezaei-Zare, S Shokrzadeh IEEE Transactions on Transportation Electrification 9 (1), 886-895, 2022 | 25 | 2022 |
| Wind farm operating conditions under geomagnetic disturbance I Babaeiyazdi, M Rezaei-Zare, A Rezaei-Zare IEEE Transactions on Power Delivery 35 (3), 1357-1364, 2019 | 17 | 2019 |
| State-of-Charge Prediction of Degrading Li-ion Batteries Using an Adaptive Machine Learning Approach I Babaeiyazdi, A Rezaei-Zare, S Shokrzadeh 2022 IEEE Power & Energy Society General Meeting (PESGM), 01-05, 2022 | 8 | 2022 |
| Fast charging systems to enable electrification of transportation: An operational constrained based analysis I Babaeiyazdi, A Rezaei-Zare, S Shokrzadeh 2019 IEEE Transportation Electrification Conference and Expo (ITEC), 1-6, 2019 | 5 | 2019 |
| Globally Optimal Energy Management in a Battery-Ultracapacitor Electric Vehicle A Zahedi, I Babaeiyazdi, R Ostadian, A Rezaei-Zare 2022 IEEE International Conference on Environment and Electrical Engineering …, 2022 | 3 | 2022 |
| DFACTS-Based Mitigation of Power System Voltage Unbalance for Wide Adoption of EV Fast Charging Systems I Babaeiyazdi, A Rezaei-Zare, S Shokrzadeh 2021 IEEE Electrical Power and Energy Conference (EPEC), 1-6, 2021 | 1 | 2021 |
| State Estimation of Li-ion Batteries Using Machine Learning Algorithms I Babaeiyazdi | | 2023 |
| Power Distance Table for EV Charger Stations in Distribution System I Babaeiyazdi | | 2019 |
