High Performance Merge Sort with Scalable Parallelization and Full-Throughput Reduction
U.S. Patent No. – High Performance Merge Sort with Scalable Parallelization and Full-Throughput Reduction – Sadi, Franchetti, Pileggi, October 27, 2021.
Author Archive for: awp
Entries by awp
A Convex Method of Generalized State Estimation using Circuit-theoretic Node-breaker Model
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
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
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
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.
Quantifying the Efficacy of Logic Locking Methods, International Conference on VLSI Design
D. Garg, J. Sweeney and L. Pileggi, Quantifying the Efficacy of Logic Locking Methods, International Conference on VLSI Design, Kolkata India, January 2024.
Power Grid Behavioral Patterns and Risks of Generalization in Applied Machine Learning, 5th International Workshop on Applied Machine Learning for Intelligent Energy Systems
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
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
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
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.
