Showcase and documentation for PROTECT-90, an open 90 kV double-line EMT fault-waveform dataset (9,022 episodes, 6.4 kHz, 48 channels). Guided notebook, schema docs and figures; the data itself lives on Zenodo (CC BY 4.0).
EvEMTBench - a reproducible benchmark for machine learning on EMT-simulated power-system fault and event data.
Companion code for our IJEPES framework paper | ML fault classification & localization on PROTECT-90, one frozen protocol, evidence for every number.
Code for the EUSIPCO 2025 paper "Impact of Data Sparsity on Machine Learning for Fault Detection in Power System Protection". Quantifies how relay and bus failures, downsampling, missing voltage/current channels and communication dropouts degrade fault detection and fault line identification.
To associate your repository with the emt-simulation topic, visit your repo's landing page and select "manage topics."