Graph neural network: A comprehensive review on non-euclidean space
This review provides a comprehensive overview of the state-of-the-art methods of graph-
based networks from a deep learning perspective. Graph networks provide a generalized …
based networks from a deep learning perspective. Graph networks provide a generalized …
Deep generative models in energy system applications: Review, challenges, and future directions
In recent years, with the advent of mature machine learning products like ChatGPT, Stable
Diffusion, and Sora, the world has witnessed tremendous changes driven by the rapid …
Diffusion, and Sora, the world has witnessed tremendous changes driven by the rapid …
Fault detection on power transmission line based on wavelet transform and scalogram image analysis
Given the massive increase in demand for electrical energy, particularly owing to global
climate change and population expansion, as well as the development of complicated …
climate change and population expansion, as well as the development of complicated …
An unsupervised protection scheme for overhead transmission line with emphasis on situations during line and source parameter variation
Quick removal of the short circuit faults in a power transmission and distribution system
solely depends on an accurate characterization of them. Characterization of short circuit fault …
solely depends on an accurate characterization of them. Characterization of short circuit fault …
Customized CNN based classification of power system disturbances using recurrence plots
This work proposes a Recurrence Plot (RP) based customized convolution neural network
(CNN) method for the power system disturbance classification of (Distributed Generation) …
(CNN) method for the power system disturbance classification of (Distributed Generation) …
An intelligent short-circuit fault classification scheme for power transmission line
This paper focuses on presenting a novel fault detection and classification (FDC) scheme
that can classify shut faults occur in overhead transmission lines with a very promising …
that can classify shut faults occur in overhead transmission lines with a very promising …
Local Adaptive Modular Protection for Transmission Systems
This paper proposes a communication-free, setting-less, and adaptive protection approach
for transmission systems. The conventional protection of transmission system lines is based …
for transmission systems. The conventional protection of transmission system lines is based …
A novel partial discharge detection algorithm in power transmission lines based on deep learning
B Ding, H Zhu - 2021 3rd International Conference on Smart …, 2021 - ieeexplore.ieee.org
The insulation condition of the power transmission line directly affects whether the power
system can operate safely. Partial discharge (PD) is one of the main reasons for the …
system can operate safely. Partial discharge (PD) is one of the main reasons for the …
Robust Short-Circuit Fault Analysis Scheme for Overhead Transmission Line
This paper introduces a novel architecture for anomaly detection and classification of high-
voltage transmission line using the self-attention convolutional neural network enhanced …
voltage transmission line using the self-attention convolutional neural network enhanced …
A Multi-Layer Perceptron Neural Network for Fault Type Identification for Transmission Lines
Electric Transmission Lines (TLs) frequently experience faults. Electric faults not only impose
extremely adverse stress on grid apparatus, but they also disrupt power flow in grids which …
extremely adverse stress on grid apparatus, but they also disrupt power flow in grids which …