| A high performance supercapacitor based on decoration of MoS 2/reduced graphene oxide with NiO nanoparticles F Ghasemi, M Jalali, A Abdollahi, S Mohammadi, Z Sanaee, ... RSC advances 7 (83), 52772-52781, 2017 | 84 | 2017 |
| Designing reactive power control rules for smart inverters using support vector machines M Jalali, V Kekatos, N Gatsis, D Deka https://ieeexplore.ieee.org/abstract/document/8846225, 2019 | 60 | 2019 |
| Fast probabilistic hosting capacity analysis for active distribution systems S Taheri, M Jalali, V Kekatos, L Tong IEEE Transactions on Smart Grid 12 (3), 2000-2012, 2020 | 50 | 2020 |
| Kernel-based learning for smart inverter control A Garg, M Jalali, V Kekatos, N Gatsis 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 30 | 2018 |
| Fast inverter control by learning the OPF mapping using sensitivity-informed Gaussian processes M Jalali, MK Singh, V Kekatos, GB Giannakis, CC Liu IEEE Transactions on Smart Grid 14 (3), 2432-2445, 2022 | 11 | 2022 |
| Inferring power system dynamics from synchrophasor data using Gaussian processes M Jalali, V Kekatos, S Bhela, H Zhu, VA Centeno IEEE Transactions on Power Systems 37 (6), 4409-4423, 2022 | 9 | 2022 |
| Inferring power system frequency oscillations using Gaussian processes M Jalali, V Kekatos, S Bhela, H Zhu 2021 60th IEEE Conference on Decision and Control (CDC), 3670-3676, 2021 | 8 | 2021 |
| Strategic investment in energy markets using bayesian optimization M Jalali, S Taheri, V Kekatos 2023 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2023 | 2 | 2023 |
| Gaussian Processes for Power System Monitoring, Optimization, and Planning M Jalali Virginia Tech, 2022 | | 2022 |
| Voltage Regulation of Smart Grids using Machine Learning Tools M Jalali Virginia Tech, 2019 | | 2019 |
