3 citations · 7 across the 16 of their papers we have counts for
4 papers · 1 filter
FedAvgIm: Federated Learning for Multi-Site Impedance Identification of Inverter-Based Resources
Quang Manh Hoang, Guilherme Vieira Hollweg, Akhtar Hussain +2
With the increasing integration of inverter-based resources (IBRs) into power systems, assessing small-signal interaction stability has become essential. Impedance/admittance model…
SymbolicPhasor: Power System Phasor Estimation via Deep Symbolic Regression
Sina Mohammadi, Wencong Su
Accurate phasor estimation during power system faults is challenging because fault currents contain decaying DC offsets, harmonics, noise, and possible frequency deviations. These…
A Stackelberg-Bayesian Capacity-Market Game of Carbon Regulation and Second-Life Battery Investment under AI Data-Center Load Growth
Rouzbeh Haghighi, Ali Hassan, Sina Mohammadi +2
Artificial intelligence (AI) data centers are driving rapid electricity load growth across all U.S. ISO/RTO regions, raising both system costs and carbon exposure. This study devel…
Scalable Impedance Identification of Diverse IBRs via Cluster-Specialized Neural Networks
Quang Manh Hoang, Guilherme Vieira Hollweg, Bang Nguyen +3
Modern machine learning approaches typically identify the impedance of a single inverter-based resource (IBR) and assume similar impedance characteristics across devices. In modern…