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

Employing Adversarial Robustness Techniques for Large-Scale Stochastic Optimal Power Flow, 22nd Power Systems Computation Conference (PSCC)

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A. Agarwal, P. Donti, L. Pileggi, Employing Adversarial Robustness Techniques for Large-Scale Stochastic Optimal Power Flow, 22nd Power Systems Computation Conference (PSCC), Porto, Portugal, 2022

Efficient Steady State Analysis of the Grid Using Electromagnetic Transient Models, 22nd Power Systems Computation Conference (PSCC)

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A. Agarwal, L. Pileggi, Efficient Steady State Analysis of the Grid Using Electromagnetic Transient Models, 22nd Power Systems Computation Conference (PSCC), Porto, Portugal, 2022.