Physics-Guided-Blackout-Mitigation

Source code accompanying our 2025 IEEE Transactions on Power Systems (TPS) paper and our 2025 NeurIPS Climate Change AI (CCAI) Workshop paper (also at ArXiv). Built with TensorFlow.

Other Artifacts:

• NeurIPS Slides
• NeurIPS Poster
• NeurIPS Video

Installation

More on these soon...

Requirements

How to use the Physics-Guided Agent?

Additional Information

Citing

If you find this repository useful in your work, we kindly request that you cite the following papers paper1, paper2:

@ARTICLE{Dwivedi:TPS,
  author={Dwivedi, Anmol and Paternain, Santiago and Tajer, Ali},
  journal={IEEE Transactions on Power Systems}, 
  title={Blackout Mitigation via Physics-Guided RL}, 
  year={2025},
  volume={40},
  number={3},
  pages={2363-2375},
  keywords={Generators;Power system stability;Aerospace electronics;Switches;Stress;Load modeling;Costs;Training;Real-time systems;Power transmission lines;Cascading failures;deep learning;line-switching;physics-guided;reinforcement learning},
  doi={10.1109/TPWRS.2024.3472570}}

and

@article{Dwivedi:NeurIPS,
  title={Blackout Mitigation via Physics-guided RL},
  author={Dwivedi, Anmol and Paternain, Santiago and Tajer, Ali},
  journal={arXiv preprint arXiv:2401.09640},
  year={2024}
}