Potential induced degradation in photovoltaic modules: A review of the latest research and developments

G Badran, M Dhimish - Solar, 2023 - mdpi.com
Photovoltaic (PV) technology plays a crucial role in the transition towards a low-carbon
energy system, but the potential-induced degradation (PID) phenomenon can significantly …

Structure optimization of ensemble learning methods and seasonal decomposition approaches to energy price forecasting in Latin America: A case study about …

ACR Klaar, SF Stefenon, LO Seman, VC Mariani… - Energies, 2023 - mdpi.com
The energy price influences the interest in investment, which leads to economic
development. An estimate of the future energy price can support the planning of industrial …

[HTML][HTML] Island detection for grid connected photovoltaic distributed generations via integrated signal processing and machine learning approach

YM Nsaif, MSH Lipu, A Hussain, A Ayob… - International Journal of …, 2023 - Elsevier
The applications of distributed generators in distribution networks have proven to be highly
reliable and cost-effective. Accidental islanding is currently regarded as an undesirable …

Development and Validation of a Nuclear Power Plant Fault Diagnosis System Based on Deep Learning

B Liu, J Lei, J Xie, J Zhou - Energies, 2022 - mdpi.com
As artificial intelligence technology has progressed, numerous businesses have used
intelligent diagnostic technology. This study developed a deep LSTM neural network for a …

Open-Circuit Fault Detection and Location in AC-DC-AC Converters Based on Entropy Analysis

C Morel, A Akrad - Energies, 2023 - mdpi.com
Inverters and converters contain more and more power electronics switches which may
subsequently affect their reliability. Therefore, fault detection and location are essential to …

A wind turbine vibration monitoring system for predictive maintenance based on machine learning methods developed under safely controlled laboratory conditions

DP Granados, MAO Ruiz, JM Acosta, SAG Lara… - Energies, 2023 - mdpi.com
Wind energy is one of the most relevant clean energies today, so wind turbines must have
good health and be reliable in operation. Current wind turbines have slender and elastic …

Currents Analysis of a Brushless Motor with Inverter Faults—Part I: Parameters of Entropy Functions and Open-Circuit Faults Detection

C Morel, S Rivero, B Le Gueux, J Portal, S Chahba - Actuators, 2023 - mdpi.com
In the field of signal processing, it is interesting to explore signal irregularities. Indeed,
entropy approaches are efficient to quantify the complexity of a time series; their ability to …

Multi-level feature encoding algorithm based on FBPSI for heart sound classification

Y Fang, H Leng, W Wang, D Liu - Scientific Reports, 2024 - nature.com
Abstract Analysis of heart sound signals plays an essential role in preventing and
diagnosing cardiac diseases. This study proposes a multi-level feature encoding algorithm …

Fault detection and classification in DC microgrid clusters

P Pan, RK Mandal - Engineering Research Express, 2023 - iopscience.iop.org
With the rising popularity of DC microgrids, clusters of such grids are beginning to emerge
as a practical and economical option. Short circuit problems in a DC microgrid clusters can …

[HTML][HTML] A deep learning model for fault detection in distribution networks with high penetration of electric vehicle chargers

SA Hosseini, B Taheri, SHH Sadeghi… - e-Prime-Advances in …, 2024 - Elsevier
Integration of a significant number of domestic electrical vehicle (EV) charging stations into
the power distribution infrastructure can give rise to several protection problems. Therefore …