2 papers
cs.LG2023
Enriching Neural Network Training Dataset to Improve Worst-Case Performance Guarantees
Rahul Nellikkath, Spyros Chatzivasileiadis
Machine learning algorithms, especially Neural Networks (NNs), are a valuable tool used to approximate non-linear relationships, like the AC-Optimal Power Flow (AC-OPF), with consi…
eess.SY2023
Physics Informed Neural Networks for Phase Locked Loop Transient Stability Assessment
Rahul Nellikkath, Andreas Venzke, Mohammad Kazem Bakhshizadeh +2
A significant increase in renewable energy production is necessary to achieve the UN's net-zero emission targets for 2050. Using power-electronic controllers, such as Phase Locked…