Rahul Nellikkath

14 papers Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Physics-Informed Neural Networks in Power System Dynamics: Improving Simulation Accuracy. CoRR Ignasi Ventura Nadal, Rahul Nellikkath, Spyros Chatzivasileiadis
2025	J	`jnl`	Scalable Physics-Informed Neural Networks for Accelerating Electromagnetic Transient Stability Assessment. CoRR Ignasi Ventura Nadal, Mohammad Kazem Bakhshizadeh, Petros Aristidou, Nicolae Darii, Rahul Nellikkath, Spyros Chatzivasileiadis
2025	J	`jnl`	Toolbox for Developing Physics Informed Neural Networks for Power Systems Components. CoRR Ioannis Karampinis, Petros Ellinas, Ignasi Ventura Nadal, Rahul Nellikkath, Spyros Chatzivasileiadis
2024	J	`jnl`	Correctness Verification of Neural Networks Approximating Differential Equations. CoRR Petros Ellinas, Rahul Nellikkath, Ignasi Ventura, Jochen Stiasny, Spyros Chatzivasileiadis
2024	J	`jnl`	Scalable Exact Verification of Optimization Proxies for Large-Scale Optimal Power Flow. CoRR Rahul Nellikkath, Mathieu Tanneau, Pascal Van Hentenryck, Spyros Chatzivasileiadis
2023	J	`jnl`	Enriching Neural Network Training Dataset to Improve Worst-Case Performance Guarantees. CoRR Rahul Nellikkath, Spyros Chatzivasileiadis
2023	J	`jnl`	Physics Informed Neural Networks for Phase Locked Loop Transient Stability Assessment. CoRR Rahul Nellikkath, Andreas Venzke, Mohammad Kazem Bakhshizadeh, Ilgiz Murzakhanov, Spyros Chatzivasileiadis
2022	J	`jnl`	Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems. CoRR Jochen Stiasny, Samuel Chevalier, Rahul Nellikkath, Brynjar Sævarsson, Spyros Chatzivasileiadis
2022	J	`jnl`	Interpretable Machine Learning for Power Systems: Establishing Confidence in SHapley Additive exPlanations. CoRR Robert I. Hamilton, Jochen Stiasny, Tabia Ahmad, Samuel Chevalier, Rahul Nellikkath, Ilgiz Murzakhanov, Spyros Chatzivasileiadis, Panagiotis N. Papadopoulos
2022	J	`jnl`	Minimizing Worst-Case Violations of Neural Networks. CoRR Rahul Nellikkath, Spyros Chatzivasileiadis
2021	J	`jnl`	Network-Aware Flexibility Requests for Distribution-Level Flexibility Markets. CoRR Eléa Prat, Irena Dukovska, Rahul Nellikkath, Lars Herre, Malte Thoma, Spyros Chatzivasileiadis
2021	J	`jnl`	Physics-Informed Neural Networks for AC Optimal Power Flow. CoRR Rahul Nellikkath, Spyros Chatzivasileiadis
2021	—	`conf`	Physics-Informed Neural Networks for Minimising Worst-Case Violations in DC Optimal Power Flow. SmartGridComm Rahul Nellikkath, Spyros Chatzivasileiadis
2021	J	`jnl`	Physics-Informed Neural Networks for Minimising Worst-Case Violations in DC Optimal Power Flow. CoRR Rahul Nellikkath, Spyros Chatzivasileiadis