[HTML][HTML] Power quality monitoring in electric grid integrating offshore wind energy: A review

H Shao, R Henriques, H Morais, E Tedeschi - Renewable and Sustainable …, 2024 - Elsevier
The rising integration of offshore wind energy into the electric grid provides remarkable
opportunities in terms of environmental sustainability and cost efficiency. However, it poses …

[HTML][HTML] Early prediction of lithium-ion battery cycle life based on voltage-capacity discharge curves

W Xiong, G Xu, Y Li, F Zhang, P Ye, B Li - Journal of Energy Storage, 2023 - Elsevier
Accurately predicting the lifetime of lithium-ion batteries is critical for accelerating
technological advancements and applications. Nevertheless, the complex aging …

Multiple harmonic sources identification including inverter‐based distributed generations using empirical Fourier decomposition

SZT Motlagh, A Akbari Foroud - IET Generation, Transmission …, 2023 - Wiley Online Library
This paper proposes an intelligent approach based on the empirical Fourier decomposition
(EFD) to identify harmonic sources at the point of common coupling (PCC) when different …

A very fast and easily implementable support vector machine based relay algorithm to classify the fault and non fault disturbance in VSC HVDC terminals

A Joshi, R Khathoon, AP PV, V Vinod - Electric Power Systems Research, 2023 - Elsevier
The high current carrying capacity of the power electronics based switches has gained much
popularity to the VSC-based HVDC system. The challenge faced by the protection schemes …

PSO-guided optimal estimator enabled regularized adaptive extended Kalman filter with unknown inputs for dynamic nonlinear indoor thermal state estimation

BP Das, K Das Sharma, A Chatterjee… - Journal of Building …, 2024 - Taylor & Francis
This paper presents a particle swarm optimization-guided maximum likelihood estimation
enabled (MLE) adaptive extended Kalman filter (EKF) with unknown inputs algorithm for …

Power Quality Disturbances Segmentation: An Approach Based on Gramian Angular Field

AL Moraes, DV Coury… - … Power Components and …, 2023 - Taylor & Francis
The advanced metering infrastructure of smart grids has impacted the increase in the
volume of data acquired. Therefore, the elimination of non-useful data is important to reduce …

An Efficient Method to Localize and Quantify Axial Displacement in Transformer Winding Using Support Vector Machines

A Muhammed, P Saji, J Mojiza… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In power systems, power transformers are critical components that play a key role in
delivering electricity to consumers. However, transformers are also vulnerable to various …

Prediction model of transformer top oil temperature based on data quality enhancement

N Dong, R Zhang, Z Li, B Cao - Review of Scientific Instruments, 2023 - pubs.aip.org
Top oil temperature (TOT) is an important parameter to evaluate the running state of a
transformer. According to the variation trend of TOT, the internal thermal state of transformers …

An Identification Method of Power Quality Disturbances Using Kalman Filter and Extreme Learning Machine

H He, L Wang, C Wang, J Xu… - 2022 IEEE 5th Advanced …, 2022 - ieeexplore.ieee.org
To make further improvement on power quality issues, a novel power quality disturbances
(PQD) classification algorithm is proposed in this paper, which is a combination technique of …

Transfer Learning Model forAnomalous Event Recognition in Big Video Data

R Adel, A Youssif, M Mostafa - 2024 - researchsquare.com
The primary objective of this research was to enhance video surveillance through the
frequent utilization of anomalous event recognition techniques by incorporating transfer …