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Found 4 papers, 2 papers with code
A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study
This paper addresses the challenge of efficiently solving the optimal power flow problem in real-time electricity markets.
Robust Streaming PCA
We consider streaming principal component analysis when the stochastic data-generating model is subject to perturbations.
Principled Deep Neural Network Training through Linear Programming
Our results provide a new perspective on training problems through the lens of polyhedral theory and reveal a strong structure arising from these problems.
A Modified Benders Decomposition for Chance-Constrained Unit Commitment with N-1 Security and Wind Uncertainty
As renewable wind energy penetration rates continue to increase, one of the major challenges facing grid operators is the question of how to control transmission grids in a reliable and a cost-efficient manner.
Systems and Control
