Fast and accurate detection of power system disturbance (PSD)-creating events is very
much essential for the safe and reliable operation of today's power distribution network. This …

With the widespread application of the Internet, network security issues have become
increasingly prominent. As an important infrastructure of the Internet, the domain name …

This work proposes a Recurrence Plot (RP) based customized convolution neural network
(CNN) method for the power system disturbance classification of (Distributed Generation) …

High-impedance fault detection poses significant challenges for distribution network
maintenance and operation. We propose a dual-path neural network for high-impedance …

This letter proposes an advanced convolutional neural network (CNN)-based classifier for
detecting the contamination level of in-service insulator strings. The goal is to enhance …

Conventional power system networks are being replaced by smart-grid systems, resulting in
reliable, secure, and environmentally friendly systems. Due to the inclusion of renew-able …