| Stealthy black-box attacks on deep learning non-intrusive load monitoring models J Wang, P Srikantha IEEE Transactions on Smart Grid 12 (4), 3479-3492, 2021 | 49 | 2021 |
| Fast optimal power flow with guarantees via an unsupervised generative model J Wang, P Srikantha IEEE Transactions on Power Systems 38 (5), 4593-4604, 2022 | 28 | 2022 |
| Ensemble-based deep learning model for non-intrusive load monitoring J Wang, S El Kababji, C Graham, P Srikantha 2019 IEEE Electrical Power and Energy Conference (EPEC), 1-6, 2019 | 20 | 2019 |
| Complex graph Laplacian regularizer for inferencing grid states C Dinesh, J Wang, G Cheung, P Srikantha 2023 IEEE International Conference on Communications, Control, and Computing …, 2023 | 2 | 2023 |
| Deep learning on smart meter data: Non-intrusive load monitoring and stealthy black-box attacks J Wang The University of Western Ontario (Canada), 2020 | 2 | 2020 |
| Data-driven AC Optimal Power Flow with Physics-informed Learning and Calibrations J Wang, P Srikantha 2024 IEEE International Conference on Communications, Control, and Computing …, 2024 | 1 | 2024 |
| Data-driven Methods for Optimal Power Flow in Smart Grids J Wang Ph.D. Thesis, 2024 | | 2024 |
| Data-Driven Optimal Solver for Coordinating a Sustainable and Stable Power Grid J Wang, P Srikantha NeurIPS workshop, 2021, 2021 | | 2021 |
Pirathayini SrikanthaAssociate Professor, York UniversityVerified email at yorku.ca
