A survey of time-series prediction for digitally enabled maintenance of electrical grids
The maintenance of electrical grids is crucial for improving their reliability, performance, and
cost-effectiveness. It involves employing various strategies to ensure smooth operation and …
cost-effectiveness. It involves employing various strategies to ensure smooth operation and …
Machine learning-based fault location for smart distribution networks equipped with micro-PMU
Faults in distribution networks occur unpredictably, causing a threat to public safety and
resulting in power outages. Automated, efficient, and precise detection of faulty sections …
resulting in power outages. Automated, efficient, and precise detection of faulty sections …
Deep learning-based fault classification and location for underground power cable of nuclear facilities
Worldwide, Nuclear Power Plants (NPPs) must have higher security protection and precise
fault detection systems, especially underground power cable faults, to avoid causing …
fault detection systems, especially underground power cable faults, to avoid causing …
[HTML][HTML] Deep learning-based fault location framework in power distribution grids employing convolutional neural network based on capsule network
Power distribution grids (PDGs) are one of the main parts of electrical logistic chains with the
task of transferring electricity to the consumers continually. Adverse weather conditions …
task of transferring electricity to the consumers continually. Adverse weather conditions …
[HTML][HTML] Fault classification and location of a PMU-equipped active distribution network using deep convolution neural network (CNN)
Accurate fault detection and localization play a pivotal role in the reliable and optimal
operation of electric power distribution networks. However, the integration of intermittent …
operation of electric power distribution networks. However, the integration of intermittent …
Machine learning-based fault diagnosis for research nuclear reactor medium voltage power cables in fraction Fourier domain
Abstract Fault diagnosis of Medium Voltage power Cables (MVCs) research nuclear reactor,
incredibly inaccessible/remote ones, has to be carefully identified, located, and fixed within a …
incredibly inaccessible/remote ones, has to be carefully identified, located, and fixed within a …
Identification of transmission line voltage sag sources based on multi‐location information convolutional transformer
Q Li, C Zheng, S Liu, S Dai, B Zhang… - IET Renewable …, 2024 - Wiley Online Library
Conventional methods for identifying voltage sag sources are difficult to categorize
accurately due to the complexity of transmission lines and the influence of noise. In order to …
accurately due to the complexity of transmission lines and the influence of noise. In order to …
Deep LSTM-RBM Framework for Fault Location and Classification in Power Distribution Networks
This paper introduces a novel deep learning-based framework for accurate fault localization
and classification in power distribution systems. The proposed approach combines a long …
and classification in power distribution systems. The proposed approach combines a long …
The Application of Machine Learning and Deep Learning Techniques for Event Classification in Power Systems
Maintaining stability and providing an uninterrupted supply of customers' demands are
crucial aspects of power systems. With the expansion of electrical networks, the complexity …
crucial aspects of power systems. With the expansion of electrical networks, the complexity …
Protection and Communication Techniques in Modern Power Systems
K Kauhaniemi - Energies, 2023 - mdpi.com
The protection systems of modern grids are facing new challenges and opportunities due to
the development of future Smart Grids. The complexity of the system increases when the …
the development of future Smart Grids. The complexity of the system increases when the …