In our study, datasets of two simulators, namely phasor-based simulator and hybrid-type simulator are used. In the hybrid environment, first, the outputs of the phasor-based simulator are converted to instantaneous waveforms, then based on instruction, distortions and noises are added (superimposed) to these waveforms, and finally, the distorted waveforms are fed to the detailed model of PMUs simulated in EMT domain. Outputs of both simulators can be found in the submitted file.

DOI Link: 
10.21227/b9kg-6c55
Read more

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Subscribe now or login.

[1] Tohid Behdadnia, Mehmet Parlak , "Mitigating Erroneous PMU measurements via an ANN to Enhance ML-based Transient Stability Prediction Accuracy", IEEE Dataport, 2021. [Online]. Available: http://dx.doi.org/10.21227/b9kg-6c55. Accessed: Dec. 30, 2024.
@data{b9kg-6c55-21,
doi = {10.21227/b9kg-6c55},
url = {http://dx.doi.org/10.21227/b9kg-6c55},
author = {Tohid Behdadnia; Mehmet Parlak },
publisher = {IEEE Dataport},
title = {Mitigating Erroneous PMU measurements via an ANN to Enhance ML-based Transient Stability Prediction Accuracy},
year = {2021} }
TY - DATA
T1 - Mitigating Erroneous PMU measurements via an ANN to Enhance ML-based Transient Stability Prediction Accuracy
AU - Tohid Behdadnia; Mehmet Parlak
PY - 2021
PB - IEEE Dataport
UR - 10.21227/b9kg-6c55
ER -
Tohid Behdadnia, Mehmet Parlak . (2021). Mitigating Erroneous PMU measurements via an ANN to Enhance ML-based Transient Stability Prediction Accuracy. IEEE Dataport. http://dx.doi.org/10.21227/b9kg-6c55
Tohid Behdadnia, Mehmet Parlak , 2021. Mitigating Erroneous PMU measurements via an ANN to Enhance ML-based Transient Stability Prediction Accuracy. Available at: http://dx.doi.org/10.21227/b9kg-6c55.
Tohid Behdadnia, Mehmet Parlak . (2021). "Mitigating Erroneous PMU measurements via an ANN to Enhance ML-based Transient Stability Prediction Accuracy." Web.
1. Tohid Behdadnia, Mehmet Parlak . Mitigating Erroneous PMU measurements via an ANN to Enhance ML-based Transient Stability Prediction Accuracy [Internet]. IEEE Dataport; 2021. Available from : http://dx.doi.org/10.21227/b9kg-6c55
Tohid Behdadnia, Mehmet Parlak . "Mitigating Erroneous PMU measurements via an ANN to Enhance ML-based Transient Stability Prediction Accuracy." doi: 10.21227/b9kg-6c55