APA   Click to copy
Dindar, B., Saner, C. B., Cakmak, H. K., & Hagenmayer, V. (2026). Privacy-preserving utilization of distribution system flexibility for enhanced TSO-DSO interoperability: A novel machine learning-based optimal power flow approach. Applied Energy, 414, 127848. https://doi.org/10.1016/j.apenergy.2026.127848

Chicago/Turabian   Click to copy
Dindar, Burak, Can Berk Saner, Huseyin Kemal Cakmak, and Veit Hagenmayer. “Privacy-Preserving Utilization of Distribution System Flexibility for Enhanced TSO-DSO Interoperability: A Novel Machine Learning-Based Optimal Power Flow Approach.” Applied Energy 414 (2026): 127848.

MLA   Click to copy
Dindar, Burak, et al. “Privacy-Preserving Utilization of Distribution System Flexibility for Enhanced TSO-DSO Interoperability: A Novel Machine Learning-Based Optimal Power Flow Approach.” Applied Energy, vol. 414, 2026, p. 127848, doi:10.1016/j.apenergy.2026.127848.

@article{burak2026a,
  title = {Privacy-preserving utilization of distribution system flexibility for enhanced TSO-DSO interoperability: A novel machine learning-based optimal power flow approach},
  year = {2026},
  journal = {Applied Energy},
  pages = {127848},
  volume = {414},
  doi = {10.1016/j.apenergy.2026.127848},
  author = {Dindar, Burak and Saner, Can Berk and Cakmak, Huseyin Kemal and Hagenmayer, Veit}
}