A Convex Method of Generalized State Estimation using Circuit-theoretic Node-breaker Model

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S. (Cindy) Li, A. Pandey, and L. Pileggi, ” A Convex Method of Generalized State Estimation using Circuit-theoretic Node-breaker Model,” in IEEE Transactions on Power Systems, Accepted for Publication.

Generalized Smooth Functions for Modeling Steady-State Response of Controls in Transmission and Distribution

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A. Agarwal, N. Turner-Bandele, A. Pandey, and L. Pileggi, “Generalized Smooth Functions for Modeling Steady-State Response of Controls in Transmission and Distribution,” Electric Power Systems Research, Accepted for Publication.

Dynamic Graph-Based Anomaly Detection in the Electrical Grid

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S. (Cindy) Li, A. Pandey, B. Hooi, C. Faloutsos and L. Pileggi, “Dynamic Graph-Based Anomaly Detection in the Electrical Grid,” in IEEE Transactions on Power Systems, vol. 37, no. 5, pp. 3408-3422, Sept. 2022, doi: 10.1109/TPWRS.2021.3132852

Large Scale Multi-Period Optimal Power Flow with Energy Storage Systems Using Differential Dynamic Programming

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A. Agarwal, L. Pileggi, “Large Scale Multi-Period Optimal Power Flow with Energy Storage Systems Using Differential Dynamic Programming,” IEEE PES Transactions on Power Systems, 2021.

Power Grid Behavioral Patterns and Risks of Generalization in Applied Machine Learning, 5th International Workshop on Applied Machine Learning for Intelligent Energy Systems

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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.

Actionable Three-Phase Infeasibility Optimization with Varying Slack Sources

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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.

Dynamic Graph-Based Anomaly Detection in the Electrical Grid

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S. (Cindy) Li, A. Pandey, B. Hooi, C. Faloutsos and L. Pileggi, “Dynamic Graph-Based Anomaly Detection in the Electrical Grid,” in IEEE Transactions on Power Systems, vol. 37, no. 5, pp. 3408-3422, Sept. 2022, doi: 10.1109/TPWRS.2021.3132852.

Large Scale Multi-Period Optimal Power Flow with Energy Storage Systems Using Differential Dynamic Programming

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A. Agarwal, L. Pileggi, “Large Scale Multi-Period Optimal Power Flow with Energy Storage Systems Using Differential Dynamic Programming,” IEEE PES Transactions on Power Systems, 2021.

Adversarially Robust Learning for Security-Constrained Optimal Power Flow, Neural Information Processing Systems

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P. Donti, A. Agarwal, L. Pileggi, Z. Kolter, Adversarially Robust Learning for Security-Constrained Optimal Power Flow, Neural Information Processing Systems, 2021

Two-Stage Homotopy Method to Incorporate Discrete Control Variables into AC-OPF,  Power Systems Computation Conference (PSCC)

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T. McNamara, A. Pandey, A. Agarwal, L. Pileggi, Two-Stage Homotopy Method to Incorporate Discrete Control Variables into AC-OPF,  Power Systems Computation Conference (PSCC), June 27-July 1, 2022