19 citations · 38 across the 4 of their papers we have counts for
4 papers
OPFData: Large-scale datasets for AC optimal power flow with topological perturbations
Sean Lovett, Miha Zgubic, Sofia Liguori +6
Solving the AC optimal power flow problem (AC-OPF) is critical to the efficient and safe planning and operation of power grids. Small efficiency improvements in this domain have th…
CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations
Luis Piloto, Sofia Liguori, Sephora Madjiheurem +6
Optimal Power Flow (OPF) refers to a wide range of related optimization problems with the goal of operating power systems efficiently and securely. In the simplest setting, OPF det…
Preserving physically important variables in optimal event selections: A case study in Higgs physics
Philipp Windischhofer, Miha Zgubic, Daniela Bortoletto
Analyses of collider data, often assisted by modern Machine Learning methods, condense a number of observables into a few powerful discriminants for the separation of the targeted…
Vector Boson Fusion Searches for Dark Matter at the LHC
James Brooke, Matthew R. Buckley, Patrick Dunne +3
The vector boson fusion (VBF) event topology at the Large Hadron Collider (LHC) allows efficient suppression of dijet backgrounds and is therefore a promising target for new physic…