Shimiao Li, Aaron Tuor, Draguna Vrabie, Larry Pileggi, Ján Drgoňa, “Sparsity-exploiting Gaussian Process for Robust Transient Learning of Power System Dynamics,” PES General Meeting, July 2026 (PESGM).
A. Agarwal, R. Rohrer, and L. Pileggi, “Second-Order Optimization via Quiescence Trajectory Tracing,” IEEE Transactions on Circuits and Systems I: Regular Papers, doi: 10.1109/TCSI.2026.3689681.
A. Agarwal, G. Joshi, and L. Pileggi, “Adaptive Federated Learning via Dynamical System Model,” Transactions on Machine Learning Research, 2026 [accepted].
T. Gao, S. Li and L. Pileggi, Sparsity-exploiting Gaussian Process for Robust Transient Learning of Power System Dynamics, IEEE PES General Meeting, July 19-23, 2026.
A. Agarwal, P. Donti, J. Z. Kolter, and L. Pileggi, “Large Scale Bilevel Optimization for N-k SCOPF Using Adversarial Robustness,” IEEE Transactions on Power Systems, doi: 10.1109/TPWRS.2025.3579521.
A. Agarwal, P. Donti, J. Z. Kolter, and L. Pileggi, “Large Scale Bilevel Optimization for N-k SCOPF Using Adversarial Robustness,” IEEE Transactions on Power Systems, doi: 10.1109/TPWRS.2025.3579521.
A. Agarwal, G. Joshi, and L. Pileggi, “FedECADO: A Dynamical System Model of Federated Learning,” The International Conference on Machine Learning (ICML), July 2025.
Shimiao Li, Amritanshu Pandey, and Larry Pileggi. “Contingency Analysis with Warm Starter using Probabilistic Graphical Model.” Power Systems Computation Conference (PSCC), June 2024.
S. Li, J. Drgona, S. Abhyankar, L. Pileggi, Power Grid Behavioral Patterns and Risks of Generalization in Applied Machine Learning, 5th International Workshop on Applied Machine Learning for Intelligent Energy Systems (AMLIES 2023), Orlando FL, June 2023.
E. Foster, T. McNamara, A. Pandey and L. Pileggi, Actionable Three-Phase Infeasibility Optimization with Varying Slack Sources, IEEE PES General Meeting, July 16-20, 2023
Carnegie Mellon University
Hamerschlag Hall, 2113
5000 Forbes Avenue
Pittsburgh, PA 15213-3891 USA
pileggi@andrew.cmu.edu
Phone: 412-268-6774