2 citations · 4 across the 9 of their papers we have counts for
3 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…
A Hybrid Two-Stage Machine Learning Pipeline for Fault Detection and Classification in Power Transmission Systems
Sahil Manikshete, Atharva Gujarathi, Thanh Long Vu +2
Rapid and accurate fault detection in high-voltage transmission networks is essential for grid reliability and equipment protection. Transmission fault datasets are frequently imba…
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…