| Machine learning applications in power system fault diagnosis: Research advancements and perspectives SMT Rachna Vaish, U.D.Dwivedi, Saurabh Tewari Engineering Applications of Artificial Intelligence 106 (November), 104504, 2021 | 74 | 2021 |
| Taxonomic research survey on vector controlled induction motor drives SM Tripathi, R Vaish IET Power Electronics 12 (7), 1603-1615, 2019 | 6 | 2019 |
| Comparative Study of Machine Learning Models for Power System Fault Identification and Localization R Vaish, UD Dwivedi 2021 4th International Conference on Recent Trends in Computer Science and …, 2022 | 1 | 2022 |
| Role of Machine Learning in Forecasting Solar and Wind Power Generation RVUD Dwivedi Energy Conversion: Methods, Technology and Future Directions 1, 341, 2022 | | 2022 |
| Design of PI controller parameters of a CSI‐fed SCIM drive ensuring high damping ratio and maximum system stability SM Tripathi, R Vaish, AK Pandey Advanced Control for Applications: Engineering and Industrial Systems 3 (4), e85, 2021 | | 2021 |
Dr. Saurabh Mani TripathiCoordinator, Power & Energy Research Centre; Assoc.Professor of Electrical Engg., KNIT Sultanpur, INVerified email at knit.ac.in
