Rahul Nellikkath

1. Interpretable Machine Learning for Power Systems: Establishing Confidence in SHapley Additive exPlanations
   2022/09/13 by R. I. Hamilton, Hamilton, Robert I., Jochen Stiasny +13 · 1 citation
   Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Energy Load and Power Forecasting #Explainable Artificial Intelligence (XAI) #FOS: Electrical engineering #Systems and Control (eess.SY) #electronic engineering #information engineering
2. Minimizing Worst-Case Violations of Neural Networks
   2022/12/21 by Rahul Nellikkath, Spyros Chatzivasileiadis, Nellikkath, Rahul +1 · 1 citation
   Engineering · #Electricity Theft Detection Techniques #Power System Reliability and Maintenance #Machine Fault Diagnosis Techniques
3. Physics-informed neural networks for phase locked loop transient stability assessment
   2024/11/01 by Rahul Nellikkath, Ilgiz Murzakhanov, Spyros Chatzivasileiadis +2 · 1 citation