| Physics-informed neural networks for ac optimal power flow R Nellikkath, S Chatzivasileiadis Electric Power Systems Research 212, 108412, 2022 | 70 | 2022 |
| Physics-informed neural networks for minimising worst-case violations in DC optimal power flow R Nellikkath, S Chatzivasileiadis 2021 IEEE International Conference on Communications, Control, and Computing …, 2021 | 26 | 2021 |
| Volt–Var optimization and reconfiguration: Reducing power demand and losses in a droop-based microgrid Y Gupta, R Nellikkath, K Chatterjee, S Doolla IEEE Transactions on Industry Applications 57 (3), 2769-2781, 2021 | 23 | 2021 |
| Closing the loop: A framework for trustworthy machine learning in power systems J Stiasny, S Chevalier, R Nellikkath, B Sævarsson, S Chatzivasileiadis arXiv preprint arXiv:2203.07505, 2022 | 13 | 2022 |
| Network-Aware Flexibility Requests for Distribution-Level Flexibility Markets E Prat, I Dukovska, R Nellikkath, M Thoma, L Herre, S Chatzivasileiadis IEEE Transactions on Power Systems, 2023 | 3 | 2023 |
| Volt—var optimization and reconfiguration–reducing power losses in a droop based microgrid Y Gupta, R Nellikkath, K Chatterjee, S Doolla 2020 IEEE International Conference on Power Electronics, Smart Grid and …, 2020 | 3 | 2020 |
| Minimizing worst-case violations of neural networks R Nellikkath, S Chatzivasileiadis arXiv preprint arXiv:2212.10930, 2022 | 2 | 2022 |
| Interpretable machine learning for power systems: establishing confidence in shapley additive explanations RI Hamilton, J Stiasny, T Ahmad, S Chevalier, R Nellikkath, ... arXiv preprint arXiv:2209.05793, 2022 | 2 | 2022 |
| Enriching neural network training dataset to improve worst-case performance guarantees R Nellikkath, S Chatzivasileiadis 2023 IEEE Belgrade PowerTech, 1-6, 2023 | 1 | 2023 |
| Physics Informed Neural Networks for Phase Locked Loop Transient Stability Assessment R Nellikkath, A Venzke, MK Bakhshizadeh, I Murzakhanov, ... arXiv preprint arXiv:2303.12116, 2023 | 1 | 2023 |
| Physics-Informed Neural Networks for AC Optimal Power Flow R Nellikkath, S Chatzivasileiadis arXiv preprint arXiv:2110.02672, 2021 | | 2021 |
Spyros ChatzivasileiadisProfessor, Head of Section, Technical University of Denmark (DTU)Verified email at dtu.dk
