| Operating peer-to-peer electricity markets under uncertainty via learning-based, distributed optimal control G Tsaousoglou, P Ellinas, E Varvarigos Applied Energy 343, 121234, 2023 | 10 | 2023 |
| Distributed sequential optimal power flow under uncertainty in power distribution systems: A data-driven approach G Tsaousoglou, P Ellinas, JS Giraldo, E Varvarigos Electric Power Systems Research 235, 110816, 2024 | 4 | 2024 |
| Decision-focused learning under decision dependent uncertainty for power systems with price-responsive demand P Ellinas, V Kekatos, G Tsaousoglou Electric Power Systems Research 235, 110665, 2024 | 1 | 2024 |
| Correctness Verification of Neural Networks Approximating Differential Equations P Ellinas, R Nellikath, I Ventura, J Stiasny, S Chatzivasileiadis arXiv preprint arXiv:2402.07621, 2024 | 1 | 2024 |
| Physics-Informed Machine Learning for Power System Dynamics: A Framework Incorporating Trustworthiness P Ellinas, I Karampinis, I Ventura Nadal, R Nellikkath, J Vorwerk, ... Available at SSRN 5062949, 2024 | 1 | 2024 |
| Toolbox for Developing Physics Informed Neural Networks for Power Systems Components I Karampinis, P Ellinas, IV Nadal, R Nellikkath, S Chatzivasileiadis arXiv preprint arXiv:2502.06412, 2025 | | 2025 |
| A hybrid quantum–classical algorithm for mixed-integer optimization in power systems P Ellinas, S Chevalier, S Chatzivasileiadis Electric Power Systems Research 235, 110835, 2024 | | 2024 |
Georgios TsaousoglouTechnical University of DenmarkE-mail megerősítve itt: dtu.dk