2 papers
cs.LG2022
Multi-fidelity power flow solver
Sam Yang, Bjorn Vaagensmith, Deepika Patra +2
We propose a multi-fidelity neural network (MFNN) tailored for rapid high-dimensional grid power flow simulations and contingency analysis with scarce high-fidelity contingency dat…
cs.HC2022
MLPro: A System for Hosting Crowdsourced Machine Learning Challenges for Open-Ended Research Problems
Peter Washington, Aayush Nandkeolyar, Sam Yang
The task of developing a machine learning (ML) model for a particular problem is inherently open-ended, and there is an unbounded set of possible solutions. Steps of the ML develop…