Can Berk Saner

PhD - Research Fellow


National University of Singapore



Machine Learning-Driven Multi-Agent-Based AC Optimal Power Flow with Effective Dataset Creation for Data Privacy and Interoperability


Journal article


Burak Dindar, Can Berk Saner, Huseyin Kemal Cakmak, Veit Hagenmayer
Sustainable Energy, Grids and Networks

Cite

Cite

APA   Click to copy
Dindar, B., Saner, C. B., Cakmak, H. K., & Hagenmayer, V. Machine Learning-Driven Multi-Agent-Based AC Optimal Power Flow with Effective Dataset Creation for Data Privacy and Interoperability. Sustainable Energy, Grids and Networks.


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 (n.d.).


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, Accepted.


BibTeX   Click to copy

@article{burak-a,
  title = {Machine Learning-Driven Multi-Agent-Based AC Optimal Power Flow with Effective Dataset Creation for Data Privacy and Interoperability},
  journal = {Sustainable Energy, Grids and Networks},
  author = {Dindar, Burak and Saner, Can Berk and Cakmak, Huseyin Kemal and Hagenmayer, Veit},
  howpublished = {Accepted}
}



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