Power Quality Knowledge Application for Low Voltage Ride Through Studies of Wind Turbine Generator. - Cheng Chen; Roger Alves de Oliveira; Math H. J. Bollen; Azam Bagheri (ISGT Europe, 2019)

Comparative Analysis of Transformer-Energizing and Fault-Caused Voltage Dips on the Dynamic Behavior of DFIG-Based Wind Turbines. - Roger Alves de Oliveira; Cheng Chen; Math H. J. Bollen; Roberto Chouhy Leborgne (ISGT-Europe, 2020)

Short-Term Distortion and Protection Operation in DFIG-Based Wind Parks during Voltage Dips. - Roger Alves de Oliveira; Cheng Chen; Math H. J. Bollen; Roberto Chouhy Leborgne (ISGT-Europe, 2020)

Deep Feature Clustering for Seeking Patterns in Daily Harmonic Variations. - Chenjie Ge; Roger Alves de Oliveira; Irene Yu-Hua Gu; Math H. J. Bollen (IEEE Trans. Instrum. Meas., 2021)

Deep Learning Method With Manual Post-Processing for Identification of Spectral Patterns of Waveform Distortion in PV Installations. - Roger Alves de Oliveira; Vineetha Ravindran; Sarah K. Rönnberg; Math H. J. Bollen (IEEE Trans. Smart Grid, 2021)

Analytics of Waveform Distortion Variations in Railway Pantograph Measurements by Deep Learning. - Rafael S. Salles; Roger Alves de Oliveira; Sarah K. Rönnberg; Andrea Mariscotti (IEEE Trans. Instrum. Meas., 2022)

Applications of Unsupervised Deep Learning for Analysing Time-Varying Power Quality Big Data. - Roger Alves de Oliveira (2023)

Data-driven assessment of VI diagrams for inference on pantograph quantities waveform distortion in AC railways. - Rafael S. Salles; Roger Alves de Oliveira; Sarah K. Rönnberg; Andrea Mariscotti (Comput. Electr. Eng., 2024)

Deep Anomaly Detection of Voltage Waveform Distortion in the Transmission Grid Due to Geomagnetically Induced Currents. - Roger Alves de Oliveira; Alexandre Malfoy; Sarah K. Rönnberg (IEEE Trans. Instrum. Meas., 2024)