A Survey of Oscillation Localization Techniques in Power Systems [PDF]
With the increasingly high penetration of renewable energy sources and the more integration of flexible loads, the power system is currently experiencing significant changes.
Chen, Yunfei +4 more
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Improving Snore Detection under Limited Dataset through Harmonic/Percussive Source Separation and Convolutional Neural Networks [PDF]
Snoring, an acoustic biomarker commonly observed in individuals with Obstructive Sleep Apnoea Syndrome (OSAS), holds significant potential for diagnosing and monitoring this recognized clinical disorder.
Carabias-Orti, J.J. +5 more
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Data-Driven Approaches for Improving Control Loop Performance Monitoring: Oscillation Detection and Characterization [PDF]
Paper III is excluded from the dissertation due to copyright.In the era of Industry 4.0, where automation and digitalisation are transforming industrial landscapes, maintaining optimal control performance in industrial control systems (ICSs) is paramount.
Bounoua, Wahiba
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A Predictive Model for Voltage Transformer Ratio Error Considering Load Variations
World Electric Vehicle JournalThe accuracy of voltage transformer (VT) measurements is imperative for the security and reliability of power systems and the equitability of energy transactions.
Zhenhua Li +5 more
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Daily Runoff Prediction Model Based on Multivariate Variational Mode Decomposition and Correlation Reconstruction [PDF]
长江科学院院报[Objective] This study took Hanjiang River Basin as the study area. To better monitor the runoff conditions in Hanjiang River Basin, the daily runoff data collected from Ankang and Baihe hydroelectric power stations were selected for prediction analysis.
DING Jie, TU Peng-fei, FENG Yu, ZENG Huai-en
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LGFCNN: A synergistic framework integrating graph-based spatial filter and lightweight CNN for SSVEP recognition [PDF]
Optimizing the feature representation and decoding efficiency of the steady-state visual evoked potentials (SSVEPs) is critical to enhancing the performance of neural signal decoding systems.
Cao, Y. +5 more
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Applied SciencesPartial discharge (PD) detection plays an important role in online condition monitoring of electrical equipment and power cables. However, the noise of PD measurement will significantly reduce the performance of the detection algorithm. In this paper, we
Jiyuan Cao +3 more
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Investigating dimensionally-reduced highly-damped systems with multivariate variational mode decomposition : an experimental approach [PDF]
Structural health monitoring (SHM) is an essential engineering field aimed at ensuring the safety and reliability of civil infrastructures. This study proposes a methodology using multivariate variational mode decomposition (MVMD) for damage detection ...
Bhowmik, Basuraj +2 more
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A systematic scoping review of irrigation development and agricultural water management in South Africa [PDF]
An estimated 80% of Africa’s population depends on agriculture; hence, efficient agricultural water management (AWM) is crucial for enhancing agricultural and water productivity and building climate resilience across different farming scales to ensure ...
Mabhaudhi, T.
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Enhancing Water and Food Security Through Improved Agricultural Water Productivity [PDF]
This open-access edited book provides a synthesis of knowledge on Water Productivity (WP) and its role in addressing global challenges related to water and food insecurity, as well as climate change.
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