| Learning to Optimize Power Distribution Grids using Sensitivity-Informed Deep Neural Networks MK Singh, S Gupta, V Kekatos, G Cavraro, A Bernstein 2020 IEEE International Conference on Communications, Control, and Computing …, 2020 | 39 | 2020 |
| Controlling smart inverters using proxies: A chance-constrained DNN-based approach S Gupta, V Kekatos, M Jin IEEE Transactions on Smart Grid 13 (2), 1310-1321, 2021 | 32 | 2021 |
| Optimal real-time coordination of energy storage units as a voltage-constrained game S Gupta, V Kekatos, W Saad IEEE Transactions on Smart Grid 10 (4), 3883-3894, 2018 | 30 | 2018 |
| Optimal design of Volt/VAR control rules for inverter-interfaced distributed energy resources I Murzakhanov, S Gupta, S Chatzivasileiadis, V Kekatos IEEE Transactions on Smart Grid, 2023 | 26 | 2023 |
| Dnn-based policies for stochastic ac opf S Gupta, S Misra, D Deka, V Kekatos Electric Power Systems Research 213, 108563, 2022 | 21 | 2022 |
| Deep Learning for Reactive Power Control of Smart Inverters under Communication Constraints S Gupta, V Kekatos, M Jin 2020 IEEE International Conference on Communications, Control, and Computing …, 2020 | 17 | 2020 |
| Real-time operation of heterogeneous energy storage units S Gupta, V Kekatos 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016 | 12 | 2016 |
| Deep Learning for Optimal Volt/VAR Control using Distributed Energy Resources S Gupta, S Chatzivasileiadis, V Kekatos arXiv preprint arXiv:2211.09557, 2022 | 9 | 2022 |
| A chance-constrained optimal design of Volt/VAR control rules for distributed energy resources J Wei, S Gupta, DC Aliprantis, V Kekatos 2023 North American Power Symposium (NAPS), 1-6, 2023 | 6 | 2023 |
| Optimal Design of Volt/VAR Control Rules of Inverters using Deep Learning S Gupta, V Kekatos, S Chatzivasileiadis IEEE Transactions on Smart Grid, 2024 | 5 | 2024 |
| Deep Learning for Scalable Optimal Design of Incremental Volt/VAR Control Rules S Gupta, A Mehrizi-Sani, S Chatzivasileiadis, V Kekatos IEEE Control Systems Letters, 2023 | 5 | 2023 |
| A quantum approach for stochastic constrained binary optimization S Gupta, V Kekatos ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
| Machine Learning for Optimal Inverter Operation in Distribution Grids MK Singh, S Gupta, V Kekatos 2021 55th Annual Conference on Information Sciences and Systems (CISS), 1-1, 2021 | 4 | 2021 |
| Real-time Integration of Energy Storage S Gupta Virginia Tech, 2017 | 4 | 2017 |
| Scalable Optimal Design of Incremental Volt/VAR Control using Deep Neural Networks S Gupta, A Mehrizi-Sani, S Chatzivasileiadis, V Kekatos arXiv preprint arXiv:2301.01440, 2023 | 3 | 2023 |
| Real-Time Operation of Heterogeneous Energy Storage Units V Kekatos, S Gupta | 1 | 2016 |
| Machine Learning and Quantum Computing for Optimization Problems in Power Systems S Gupta Virginia Tech, 2023 | | 2023 |
Spyros ChatzivasileiadisProfessor, Head of Section, Technical University of Denmark (DTU)確認したメール アドレス: dtu.dk