Abstract: With the rapid development of photovoltaic (PV) industry, it is crucial to accurately identify PV panels using remote sensing data. However, the existing methods still face problems, such as ...
Abstract: This article proposes a data-driven method based on signal convolution pooling for real-time fault diagnosis in T-type inverters. The model is composed of an auxiliary neural network and a ...