Efficient Power Quality Disturbance Classification

The ability to classify power quality disturbances is essential for grid stability across the world. Rapid advances in machine learning have allowed for the development of complex signal processing techniques to address this issue. This paper proposes three extremely efficient deep learning models to identify disturbances in power quality. Model EPQC prioritizes efficiency, Model Huge-EPQC emphasizes accuracy, and Model Large-EPQC combines accuracy with efficiency.