[HTML][HTML] Most influential feature form for supervised learning in voltage sag source localization
The paper investigates the application of machine learning (ML) for voltage sag source
localization (VSSL) in electrical power systems. To overcome feature-selection challenges …
localization (VSSL) in electrical power systems. To overcome feature-selection challenges …
Transforming Conventional Waveform Measurements into Synchro-Waveforms: A Data-Driven Method for Event Signature Alignment and Synchronization Operator …
ZJ Ye, H Mohsenian-Rad - IEEE Transactions on Smart Grid, 2024 - ieeexplore.ieee.org
A series of methodologies are proposed to transform conventional waveform measurements
from legacy power quality meters into synchro-waveforms. This study is motivated by the …
from legacy power quality meters into synchro-waveforms. This study is motivated by the …
Identification of harmonic sources in smart grid using systematic feature extraction from non-active powers
The paper introduces a novel method for identifying the location of harmonic-generating
sources in smartgrids. The method utilizes a Dual-Tree Complex Wavelet Transform …
sources in smartgrids. The method utilizes a Dual-Tree Complex Wavelet Transform …
A Data-Driven Time-Synchronization Method to Convert Power Quality Waveform Measurements into Synchro-Waveforms
ZJ Ye, H Mohsenian-Rad - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Synchronized waveform measurements, also known as synchro-waveforms, are gaining
increasing attention in advanced power systems monitoring in recent years. However, there …
increasing attention in advanced power systems monitoring in recent years. However, there …