[HTML][HTML] A survey of fault prediction and location methods in electrical energy distribution networks

R Dashti, M Daisy, H Mirshekali, HR Shaker… - Measurement, 2021 - Elsevier
One of the main factors that disrupt reliability and stop energy provision is the fault
occurrence in distribution networks. Thus, accurate and fast fault prediction and location in …

Energy big data analytics and security: challenges and opportunities

J Hu, AV Vasilakos - IEEE Transactions on Smart Grid, 2016 - ieeexplore.ieee.org
The limited available fossil fuels and the call for sustainable environment have brought
about new technologies for the high efficiency in the use of fossil fuels and introduction of …

Data-based line trip fault prediction in power systems using LSTM networks and SVM

S Zhang, Y Wang, M Liu, Z Bao - Ieee Access, 2017 - ieeexplore.ieee.org
Power system faults are significant problems in power transmission and distribution.
Methods based on relay protection actions and electrical component actions have been put …

Appraisal of energy loss reduction in green buildings using large-scale experiments compiled with swarm intelligent solutions

H Moayedi, H Yildizhan, M Al-Bahrani… - … Energy Technologies and …, 2023 - Elsevier
Today, the issue of energy efficiency is a major one in global politics. The external
environment, particularly the wind speed and outside air temperature, determines the …

A data-driven long time-series electrical line trip fault prediction method using an improved stacked-informer network

L Guo, R Li, B Jiang - Sensors, 2021 - mdpi.com
The monitoring of electrical equipment and power grid systems is very essential and
important for power transmission and distribution. It has great significances for predicting …

Fault diagnosis for smart grids in pragmatic conditions

S Ntalampiras - IEEE Transactions on Smart Grid, 2016 - ieeexplore.ieee.org
Due to the advancements of electrical networks, the operators are able to employ a gamut of
information for assessing the state of the infrastructure facilitating diagnosis of potential …

A survey of anomaly detection methods for power grids

S Madabhushi, R Dewri - International Journal of Information Security, 2023 - Springer
The power grid is a constant target for attacks as they have the potential to affect a large
geographical location, thus affecting hundreds of thousands of customers. With the advent of …

High-impedance fault detection in power distribution grid systems based on support vector machine approach

A Ahmadi, E Aghajari, M Zangeneh - Electrical Engineering, 2022 - Springer
Today, microgrids are used increasingly in different types because of its several financial
and environmental benefits for customers, societies and nations. Its implementation …

Searching of Potentially Anomalous Signals in Cosmic-Ray Particle Tracks Images Using Rough k-Means Clustering Combined with Eigendecomposition-Derived …

T Hachaj, M Piekarczyk, J Wąs - International Joint Conference on Rough …, 2023 - Springer
Our work presents the application of the rough sets method in the field of astrophysics for the
analysis of observational data recorded by the Cosmic Ray Extremely Distributed …

Cyber physical system vulnerability research

WO Redwood - 2016 - search.proquest.com
This dissertation presents contributions to several problems relevant to cyber physical
system (CPS) vulnerability research. Cyber physical systems encompass any computational …