Real-time power quality disturbance classification using convolutional neural networks

• Main Authors: Husodo, Budi Yanto, Dalimi, Rinaldy, Ihsanto, Eko, Gunawan, Teddy Surya
• Format: Book Chapter
• Language: English; English
• Published: Springer 2020
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/84768/2/Paper_191_rev3.pdf; http://irep.iium.edu.my/84768/1/Acceptance%20Letter_DrTeddy_IIUM.pdf; http://irep.iium.edu.my/84768/; https://im3f2020.ump.edu.my/index.php/en/

There is a growing interest in disturbance monitoring to maintain power quality. This paper developed a real-time power quality disturbance (PQD) detection system using convolutional neural networks (CNN) due to its fast and accurate feature extraction and classification. First, 29 classes of power...