Physics-Informed Neural Networks for Minimising Worst-Case Violations in DC Optimal Power Flow

Rahul Nellikkath, Spyros Chatzivasileiadis. Physics-Informed Neural Networks for Minimising Worst-Case Violations in DC Optimal Power Flow. In IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2021, Aachen, Germany, October 25-28, 2021. pages 419-424, IEEE, 2021. [doi]

@inproceedings{NellikkathC21,
  title = {Physics-Informed Neural Networks for Minimising Worst-Case Violations in DC Optimal Power Flow},
  author = {Rahul Nellikkath and Spyros Chatzivasileiadis},
  year = {2021},
  doi = {10.1109/SmartGridComm51999.2021.9632308},
  url = {https://doi.org/10.1109/SmartGridComm51999.2021.9632308},
  researchr = {https://researchr.org/publication/NellikkathC21},
  cites = {0},
  citedby = {0},
  pages = {419-424},
  booktitle = {IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2021, Aachen, Germany, October 25-28, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-1502-6},
}