Maintenance performance in the age of Industry 4.0: A bibliometric performance analysis and a systematic literature review

S Werbińska-Wojciechowska, K Winiarska - Sensors, 2023 - mdpi.com
Featured Application This article is focused on a literature review to provide a valuable
resource for understanding the latest developments in the Maintenance 4.0 approach. The …

Review on evolution of intelligent algorithms for transformer condition assessment

J Wang, X Zhang, F Zhang, J Wan, L Kou… - Frontiers in Energy …, 2022 - frontiersin.org
Transformers are playing an increasingly significant part in energy conversion, transmission,
and distribution, which link various resources, including conventional, renewable, and …

Image encryption for Offshore wind power based on 2D-LCLM and Zhou Yi Eight Trigrams

L Kou, J Wu, F Zhang, P Ji, W Ke… - … Journal of Bio …, 2023 - inderscienceonline.com
Offshore wind power is an important part of the new power system. Due to the complex and
changing situation in the oceans, its normal operation and maintenance cannot be done …

[HTML][HTML] Optimal scheduling of park-level integrated energy system considering ladder-type carbon trading mechanism and flexible load

H Sun, X Sun, L Kou, B Zhang, X Zhu - Energy Reports, 2023 - Elsevier
In an attempt to improve the utilization efficiency of multi-energy coupling in park-level
integrated energy system (PIES), promote wind power consumption and reduce carbon …

Enhancing wind turbine performance: Statistical detection of sensor faults based on improved dynamic independent component analysis

KR Kini, F Harrou, M Madakyaru, Y Sun - Energies, 2023 - mdpi.com
Efficient detection of sensor faults in wind turbines is essential to ensure the reliable
operation and performance of these renewable energy systems. This paper presents a novel …

Online monitoring of sensor calibration status to support condition-based maintenance

A Martins, I Fonseca, JT Farinha, J Reis, AJM Cardoso - Sensors, 2023 - mdpi.com
Condition-Based Maintenance (CBM), based on sensors, can only be reliable if the data
used to extract information are also reliable. Industrial metrology plays a major role in …

A review of modern wind power generation forecasting technologies

WC Tsai, CM Hong, CS Tu, WM Lin, CH Chen - Sustainability, 2023 - mdpi.com
The prediction of wind power output is part of the basic work of power grid dispatching and
energy distribution. At present, the output power prediction is mainly obtained by fitting and …

Energy productivity potential of offshore wind in Poland and cooperation with onshore wind farm

P Olczak, T Surma - Applied Sciences, 2023 - mdpi.com
Wind power is the leader in electricity production among the standing RES technologies,
both in Poland and in Europe/World. In Poland, so far there are only onshore wind turbines …

[HTML][HTML] Babysitting hyperparameter optimization and 10-fold-cross-validation to enhance the performance of ML methods in Predicting Wind Speed and Energy …

SM Malakouti - Intelligent Systems with Applications, 2023 - Elsevier
Academics have been interested in renewable energy for a long time, and research has
been done on how to use it, collect it, manage it, make it more efficient, and find uses for it …

A hybrid model based on discrete wavelet transform (DWT) and bidirectional recurrent neural networks for wind speed prediction

A Barjasteh, SH Ghafouri, M Hashemi - Engineering Applications of …, 2024 - Elsevier
Wind speed is the main driver of wind power output, but its inherent fluctuations and
deviations present significant challenges for power system security and power quality …