How would you describe the importance of ACOPF to a machine learning audience
See this paper from DeepMind CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations
How would you describe the importance of ACOPF to a machine learning audience
See this paper from DeepMind CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations
@ccoffrin I started a PR refactoring the rosetta-opf
code into a proper Julia package. Every solver implementation is a package extension, which makes it much easier to people to install and run only the ones they want, without copy-pasting the code. In the long run, we probably want to add more configuration options but I feel like this would be a welcome addition and I would love your input!
In any case this modulariy is very useful for our current sparsity detection benchmarks with @hill.