APA   Click to copy
Dindar, B., Saner, C. B., Cakmak, H. K., & Hagenmayer, V. (2025). Machine Learning-Driven Multi-Agent-Based AC Optimal Power Flow with Effective Dataset Creation for Data Privacy and Interoperability. Sustainable Energy, Grids and Networks, 42, 101672. https://doi.org/10.1016/j.segan.2025.101672

Chicago/Turabian   Click to copy
Dindar, Burak, Can Berk Saner, Huseyin Kemal Cakmak, and Veit Hagenmayer. “Machine Learning-Driven Multi-Agent-Based AC Optimal Power Flow with Effective Dataset Creation for Data Privacy and Interoperability.” Sustainable Energy, Grids and Networks 42 (2025): 101672.

MLA   Click to copy
Dindar, Burak, et al. “Machine Learning-Driven Multi-Agent-Based AC Optimal Power Flow with Effective Dataset Creation for Data Privacy and Interoperability.” Sustainable Energy, Grids and Networks, vol. 42, Accepted, 2025, p. 101672, doi:10.1016/j.segan.2025.101672.

@article{burak2025a,
  title = {Machine Learning-Driven Multi-Agent-Based AC Optimal Power Flow with Effective Dataset Creation for Data Privacy and Interoperability},
  year = {2025},
  journal = {Sustainable Energy, Grids and Networks},
  pages = {101672},
  volume = {42},
  doi = {10.1016/j.segan.2025.101672},
  author = {Dindar, Burak and Saner, Can Berk and Cakmak, Huseyin Kemal and Hagenmayer, Veit},
  howpublished = {Accepted}
}