TY  - GEN 
AU  - Palomares-Salas, José Carlos
AU  - Aguado-González, S.
AU  - Sierra Fernández, José María
AU  - Aguado-González, Sergio
A4  - Ingeniería en Automática, Electrónica, Arquitectura y Redes de Computadores
PY  - 2025
SN  - 2076-3417
UR  - http://hdl.handle.net/10498/39414
AB  - Accurate and robust power quality disturbance (PQD) classification is critical for modern electrical grids, particularly in noisy environments. This study presents a comprehensive comparative evaluation of machine learning (ML) and deep learning (DL)...
LA  - eng
PB  - MDPI
KW  - power quality
KW  - disturbances
KW  - machine learning
KW  - deep learning
KW  - higher-order statistics
TI  - Robustness of Machine Learning and Deep Learning Models for Power Quality Disturbance Classification: A Cross-Platform Analysis
DO  - 10.3390/APP151910602
ER  -