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Comparative Analysis of Transformer-Energizing and Fault-Caused Voltage Dips on the Dynamic Behavior of DFIG-Based Wind Turbines.

, , , and . ISGT-Europe, page 589-593. IEEE, (2020)

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Power Quality Knowledge Application for Low Voltage Ride Through Studies of Wind Turbine Generator., , , and . ISGT Europe, page 1-5. IEEE, (2019)Short-Term Distortion and Protection Operation in DFIG-Based Wind Parks during Voltage Dips., , , and . ISGT-Europe, page 819-823. IEEE, (2020)Deep Anomaly Detection of Voltage Waveform Distortion in the Transmission Grid Due to Geomagnetically Induced Currents., , and . IEEE Trans. Instrum. Meas., (2024)Comparative Analysis of Transformer-Energizing and Fault-Caused Voltage Dips on the Dynamic Behavior of DFIG-Based Wind Turbines., , , and . ISGT-Europe, page 589-593. IEEE, (2020)Deep Learning Method With Manual Post-Processing for Identification of Spectral Patterns of Waveform Distortion in PV Installations., , , and . IEEE Trans. Smart Grid, 12 (6): 5444-5456 (2021)Analytics of Waveform Distortion Variations in Railway Pantograph Measurements by Deep Learning., , , and . IEEE Trans. Instrum. Meas., (2022)Applications of Unsupervised Deep Learning for Analysing Time-Varying Power Quality Big Data.. Luleå University of Technology, Sweden, (2023)base-search.net (ftluleatu:oai:DiVA.org:ltu-100718).Deep Feature Clustering for Seeking Patterns in Daily Harmonic Variations., , , and . IEEE Trans. Instrum. Meas., (2021)