With the development of the new generation of information technology, artificial intelligence,
cloud computing and big data are gradually becoming powerful engines of the smart grid. In …

Cascading failures pose a significant threat to power grids and have garnered considerable
research interest in the power system domain. The inherent uncertainty and severe impact …

Defective insulators seriously threaten the safe operation of transmission lines. This paper
proposes an insulator defect detection method based on an improved YOLOv4 algorithm. An …

The huge differences in the visual shapes of multi-angle shooting objects leads to the poor
performance of deep neural network (DNN). In this paper, an object detection model named …

In this paper, we provide a comprehensive survey of the recent advances in abnormality
detection in smart grids using multimodal image data, which include visible light, infrared …

Foreign objects intrusion into transmission lines can lead to serious troubles, using deep
learning technology for foreign object detection has good performance and can reduce …

The rapid development of smart grid requires more and more reliable power supply. The
external force damage to transmission lines can significantly impact the safety and stability …

Electrocution accidents caused by operation and maintenance personnel and high-voltage
live equipment frequently occur in substations. Although many cameras have been installed …

Detecting foreign objects in power transmission lines is essential for mitigating safety risks
and maintaining line stability. Practical detection, however, presents challenges including …

In unmanned aerial vehicle (UAV) transmission line inspection images, the detection of
defective small-size objects such as bolts on towers is important and challenging. Although …