| Intelligent robotic system for urban waste recycling K Moirogiorgou, F Raptopoulos, G Livanos, S Orfanoudakis, ... 2022 IEEE International Conference on Imaging Systems and Techniques (IST), 1-6, 2022 | 13 | 2022 |
| Aiming for half gets you to the top: winning PowerTAC 2020 S Orfanoudakis, S Kontos, C Akasiadis, G Chalkiadakis Multi-Agent Systems: 18th European Conference, EUMAS 2021, Virtual Event …, 2021 | 9 | 2021 |
| PowerFlowNet: Power flow approximation using message passing Graph Neural Networks N Lin, S Orfanoudakis, NO Cardenas, JS Giraldo, PP Vergara International Journal of Electrical Power & Energy Systems 160, 110112, 2024 | 7* | 2024 |
| Ev2gym: A flexible v2g simulator for ev smart charging research and benchmarking S Orfanoudakis, C Diaz-Londono, YE Yılmaz, P Palensky, PP Vergara IEEE Transactions on Intelligent Transportation Systems, 2024 | 6 | 2024 |
| Novel Meta-Learning Techniques for the Multiclass Image Classification Problem A Vogiatzis, S Orfanoudakis, G Chalkiadakis, K Moirogiorgou, M Zervakis Sensors 23 (1), 9, 2022 | 6 | 2022 |
| Reinforcement Learning for Optimized EV Charging Through Power Setpoint Tracking YE Yılmaz, S Orfanoudakis, PP Vergara 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), 1-5, 2024 | 4 | 2024 |
| A novel aggregation framework for the efficient integration of distributed energy resources in the smart grid S Orfanoudakis, G Chalkiadakis Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023 | 4 | 2023 |
| The Performance Impact of Combining Agent Factorization with Different Learning Algorithms for Multiagent Coordination A Kallinteris, S Orfanoudakis, G Chalkiadakis Proceedings of the 12th Hellenic Conference on Artificial Intelligence, 1-10, 2022 | 4 | 2022 |
| A Simulation Tool for V2G Enabled Demand Response Based on Model Predictive Control C Diaz-Londono, S Orfanoudakis, PP Vergara, P Palensky, F Ruiz, ... arXiv preprint arXiv:2405.11963, 2024 | 3* | 2024 |
| Scalable Reinforcement Learning for Large-Scale Coordination of Electric Vehicles Using Graph Neural Networks S Orfanoudakis, V Robu, EMS Duque, P Palensky, P Vergara | 1 | 2024 |
| A comprehensive analysis of agent factorization and learning algorithms in multiagent systems A Kallinteris, S Orfanoudakis, G Chalkiadakis Autonomous Agents and Multi-Agent Systems 38 (2), 27, 2024 | 1 | 2024 |
| A Novel Multiagent Flexibility Aggregation Framework S Orfanoudakis, G Chalkiadakis arXiv preprint arXiv:2307.08401, 2023 | 1 | 2023 |
| Optimizing Electric Vehicles Charging using Large Language Models and Graph Neural Networks S Orfanoudakis, P Palensky, PP Vergara arXiv preprint arXiv:2502.03067, 2025 | | 2025 |
| GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments S Orfanoudakis, NK Panda, P Palensky, PP Vergara arXiv preprint arXiv:2502.01778, 2025 | | 2025 |
| Adaptive Informed Deep Neural Networks for Power Flow Analysis Z Kaseb, S Orfanoudakis, PP Vergara, P Palensky arXiv preprint arXiv:2412.02659, 2024 | | 2024 |
| Paving the Way for Electric Vehicle Mass Deployment: A Dataset of Unidirectional, Bidirectional, and Dynamic Charging Profiles M Esser, S Orfanoudakis, O Homaee, V Vahidinasab, PP Vergara, ... Authorea Preprints, 2024 | | 2024 |
| Energy Storage Systems Planning in the Electric Distribution System Considering the Grow of PV Penetration NA Martinez, S Orfanoudakis, PP Vergara, JF Franco 2024 IEEE International Conference on Environment and Electrical Engineering …, 2024 | | 2024 |
| A Dynamic Prediction Tool for Vehicle-to-Grid Operation and Planning B Ravanbach, E Turhan, N Wulff, S Orfanoudakis, PP Vergara, ... IEEE Xplore Digital Library, 2024 | | 2024 |
| Supplementary Material for: Scalable Reinforcement Learning for Large-Scale Coordination of Electric Vehicles Using Graph Neural Networks S Orfanoudakis, V Robu, EM Salazar, P Palensky, PP Vergara | | |
Pedro P. VergaraAssistant Professor - Delft University of Technology在 tudelft.nl 的电子邮件经过验证