Abstract: As one of the most important equipment in the power system, it is of great significance to conduct fault diagnosis research on transformers. Aiming at the problem of difficult selection of ...

Convolutional neural networks (CNNs) are vulnerable to adversarial attacks in computer vision tasks. Current adversarial detections are ineffective against white-box attacks and inefficient when deep ...

Abstract: Forecasting renewable energy generation is essential for effectively managing the electricity grid and energy supply using machine learning (ML) and deep learning (DL) models. An important ...