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03/23/2023
Enriching Neural Network Training Dataset to Improve Worst-Case Performance Guarantees
Machine learning algorithms, especially Neural Networks (NNs), are a val...
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03/21/2023
Physics Informed Neural Networks for Phase Locked Loop Transient Stability Assessment
A significant increase in renewable energy production is necessary to ac...
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12/21/2022
Minimizing Worst-Case Violations of Neural Networks
Machine learning (ML) algorithms are remarkably good at approximating co...
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03/14/2022
Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems
Deep decarbonization of the energy sector will require massive penetrati...
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10/06/2021
Physics-Informed Neural Networks for AC Optimal Power Flow
This paper introduces, for the first time to our knowledge, physics-info...
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06/28/2021
