Equivalent Circuit Programming for Estimating the State of a Power System
M. Jereminov, A. Jovicic, M. Wagner, G. Hug, L. Pileggi, “Equivalent Circuit Programming for Estimating the State of a Power System,” in Proc. IEEE PowerTech Milan, June 2019.
M. Jereminov, A. Jovicic, M. Wagner, G. Hug, L. Pileggi, “Equivalent Circuit Programming for Estimating the State of a Power System,” in Proc. IEEE PowerTech Milan, June 2019.
M. R. Wagner, M. Jereminov, A. Pandey, and L. Pileggi, “A Probabilistic Approach to Power System State Estimation using a Linear Algorithm,” in 2019 IEEE Conference on Environment and Electrical Engineering and I&CPS Europe, 2019.
S. Pagliarini, M. Isgenc, M. Martins and L. Pileggi, “From Virtual Characterization to Test-Chips: DFM Analysis through Pattern Enumeration,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, December 2018.
M. Jereminov, B. Hooi, A. Pandey, H. Song, C. Faloutsos and L. Pileggi, “Impact of Load Models on Power Flow Optimization,” IEEE PES General Meeting, Atlanta, GA, August 2019.
J. Sweeney, M. Zackriya, S. Pagliarini and L. Pileggi, Securing Digital Systems via Split-Chip Obfuscation, GOMACTech Technical Program, March 2019.
B. Hooi, D. Eswaran, A. Pandey, M. Jereminov, L. Pileggi, and C. Faloutsos, “ChangeDAR: Online Localized Change Detection for Sensor Data on a Graph,” (Best Student Paper Award, Runner Up), Proceedings of the 2018 ACM Conference on Information and Knowledge Management, 2018.
T. Jackson, S. Pagliarini and L. Pileggi, “An Oscillatory Neural Network with Programmable Resistive Synapses,” in 28 nm CMOS, IEEE International Conference on Rebooting Computing, November 2018.
A. Jovicic, M. Jeremino, L. Pileggi and G. Hug, “An Equivalent Circuit Formulation for Power System State Estimation including PMUs,” (Best Paper Award, Second Prize), 50th North American Power Symposium, October 2018.
B. Hooi, D. Eswaran, H.A. Song, A. Pandey, M. Jereminov, L. Pileggi, and C. Faloutsos. “GridWatch: Sensor Placement and Anomaly Detection in the Electrical Grid,” European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) 2018.
S. Liu, T. Rabuske, L. Pileggi, J. Fernandez, J. Paramesh, “A 125 Ms/S 10.4 ENOB 10.1 fJ/conv-Step Multi-Comparator SAR ADC with Comparator Noise Scaling in 65nm CMOS,” IEEE European Solid-State Circuits conference, September 2018.
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pileggi@andrew.cmu.edu
Phone: 412-268-6774