Deep Neural Networks in Power Systems: A Review

M Khodayar, J Regan - Energies, 2023 - mdpi.com
Identifying statistical trends for a wide range of practical power system applications,
including sustainable energy forecasting, demand response, energy decomposition, and …

Switchgear Digitalization—Research Path, Status, and Future Work

N Kaštelan, I Vujović, M Krčum, N Assani - Sensors, 2022 - mdpi.com
To keep pace with global energy efficiency trends and, in particular, emission reduction
targets in the maritime sector, both onshore and maritime power distribution systems need to …

ESG guidance and artificial intelligence support for power systems analytics in the energy industry

Q Li, G Zou, W Zeng, J Gao, F He, Y Zhang - Scientific Reports, 2024 - nature.com
In order to increase the precision and effectiveness of power system analysis and fault
diagnosis, this study aims to assess the power systems in the energy sector while utilizing …

Machine Learning based Post Event Analysis for Cybersecurity of Cyber-Physical System

K Park, J Hong, W Su, HJ Lee - 2024 IEEE Power & Energy …, 2024 - ieeexplore.ieee.org
As Information and Communication Technology (ICT) equipment continues to be integrated
into power systems, issues related to cybersecurity are increasingly emerging. Particularly …

Fault diagnosis in transmission system using wavelet, RBFNN, LM-BPNN: a comparative study

D Kavitha, S Kamalika - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
A transmission line fault is an uncommon event or an anomaly that can prevent the normal
flow of electrical current. The entire power system is frequently severely impacted by …

[PDF][PDF] INTEGRATING AI FOR ENHANCED FAULT DETECTION IN INDUSTRIAL SYSTEMS: EVALUATING MACHINE AND DEEP LEARNING APPROACHES IN THE …

Y ZERGUIT, Y HAMMOUDI, M DERRHI - Journal of Theoretical and Applied …, 2024 - jatit.org
In the transformative landscape of Industry 4.0, the integration of Artificial Intelligence (AI)
within the Industrial Internet of Things (IIoT) has emerged as a cornerstone for advancing …

A Fault Diagnosis Method Based on Gate Recurrent Unit Fully Convolutional Network for Power Router

X Gao, X Pang, A Chen - 2023 IEEE 2nd International Power …, 2023 - ieeexplore.ieee.org
The power router (PR) has been widely used to improve the utilization of renewable energy
sources (RES). The intermittent and random nature of RES inevitably increases the fault …

Artificial Intelligence-Based Segregation of Power Grid Disturbance Records

BK Saha, AA Parapurath - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Power grids, the lifeline of modern industry and society, often experience disturbances. In
response, Disturbance Records (DRs) are generated, which capture fault-related data and …

Fault Identification with High SPV Penetrated Distribution Grid Using Modified Ceemdan Method

R Singh, SP Shukla - Journal of Computational Analysis and …, 2024 - eudoxuspress.com
Microgrids are not a prospective future solution but an existing paradigm, ensuring the
energy sufficiency through decentralized and resilient power generating systems …

Machine learning for the sustainable energy transition: a data-driven perspective along the value chain from manufacturing to energy conversion

E Miele - 2023 - iris.uniroma1.it
According to the special report Global Warming of 1.5 C of the IPCC, climate action is not
only necessary but more than ever urgent. The world is witnessing rising sea levels, heat …