Publications

Machine learning-driven multi-agent-based AC optimal power flow with effective dataset creation for data privacy and interoperability
Dindar, B.; Saner, C. B.; Çakmak, H. K.; Hagenmeyer, V.
2025. Sustainable Energy, Grids and Networks, 42, 101672. doi:10.1016/j.segan.2025.101672

Privacy-Preserving Flexibility Provisioning Approaches for Enhanced TSO-DSO Interaction
Dai, X.; Dindar, B.; Jiang, Y.; Zahn, F.; Çakmak, H.; Hagenmeyer, V.
2025, March 18. TransnetBW Inno-Forum : Digitale Energiewende (2025), Stuttgart, March 18, 2025

A Machine Learning-Based Privacy-Preserving Approach to Incorporate Distributed Generators in AC Optimal Power Flow
Dindar, B.; Saner, C. B.; Polat, D. Y.; Çakmak, H. K.; Hagenmeyer, V.
2025. 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Dubrovnik, 14th-17th October 2024, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGTEUROPE62998.2024.10863010

Privacy-Preserving Utilization of Distribution System Flexibility for Enhanced TSO-DSO Interoperability: A Novel Machine Learning-Based Optimal Power Flow Approach
Dindar, B.; Saner, C. B.; Çakmak, H. K.; Hagenmeyer, V.
2025. arxiv. doi:10.48550/arXiv.2503.15966

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