Publikationen

Ensuring Data Privacy in AC Optimal Power Flow with a Distributed Co-Simulation Framework
Dai, X.; Kocher, A.; Kovačević, J.; Dindar, B.; Jiang, Y.; Jones, C. N.; Çakmak, H.; Hagenmeyer, V.
2024. Electric power systems research, 235, Art.-Nr.: 110710. doi:10.1016/j.epsr.2024.110710

TSO-DSO Interaction: Privacy-Preserving Optimal Power Flow with Distributed Generators Using a Machine Learning-Based Approach
Dindar, B.; Saner, C. B.; Çakmak, H. K.; Hagenmeyer, V.
2024. 2023 IEEE PES 15th Asia-Pacific Power and Energy Engineering Conference (APPEEC), 6 S., Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/APPEEC57400.2023.10562006

Ensuring Data Privacy in AC Optimal Power Flow with a Distributed Co-Simulation Framework
Dai, X.; Kocher, A.; Kovačević, J.; Dindar, B.; Jiang, Y.; Jones, C. N.; Çakmak, H.; Hagenmeyer, V.
2024. arxiv. doi:10.48550/arXiv.2402.01001

Privacy Protection in Collaborative Geographically Distributed Co-Simulation of Multimodal Energy Systems
Kocher, A.; Kovačević, J.; Süß, A.-C.; Saner, C. B.; Dindar, B.; Ehsan, M. A.; Çakmak, H. K.; Hagenmeyer, V.
2024. e-Energy ’24 : Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, Singapore, 4th-7th June 2024, 639–647, Association for Computing Machinery (ACM). doi:10.1145/3632775.3661990