24 February 2025
Energies | Highly Cited Papers in 2024 in the Section “Wind, Wave and Tidal Energy”
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Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.
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Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.
Original Submission Date Received: .
1. “Offshore Energy Development in Poland—Social and Economic Dimensions”
by Ewa Chomać-Pierzecka
Energies 2024, 17(9), 2068; https://doi.org/10.3390/en17092068
Available online: https://www.mdpi.com/1996-1073/17/9/2068
2. “A Comprehensive Review on Advanced Control Methods for Floating Offshore Wind Turbine Systems above the Rated Wind Speed”
by Flavie Didier, Yong-Chao Liu, Salah Laghrouche and Daniel Depernet
Energies 2024, 17(10), 2257; https://doi.org/10.3390/en17102257
Available online: https://www.mdpi.com/1996-1073/17/10/2257
3. “A Novel Wind Turbine Rolling Element Bearing Fault Diagnosis Method Based on CEEMDAN and Improved TFR Demodulation Analysis”
by Dahai Zhang, Yiming Wang, Yongjian Jiang, Tao Zhao, Haiyang Xu, Peng Qian and Chenglong Li
Energies 2024, 17(4), 819; https://doi.org/10.3390/en17040819
Available online: https://www.mdpi.com/1996-1073/17/4/819
4. “Enhancing Reliability in Floating Offshore Wind Turbines through Digital Twin Technology: A Comprehensive Review”
by Bai-Qiao Chen, Kun Liu, Tongqiang Yu and Ruoxuan Li
Energies 2024, 17(8), 1964; https://doi.org/10.3390/en17081964
Available online: https://www.mdpi.com/1996-1073/17/8/1964
5. “Optimizing H-Darrieus Wind Turbine Performance with Double-Deflector Design”
by Wei-Hsin Chen, Trinh Tung Lam, Min-Hsing Chang, Liwen Jin, Chih-Che Chueh and Gerardo Lumagbas Augusto
Energies 2024, 17(2), 503; https://doi.org/10.3390/en17020503
Available online: https://www.mdpi.com/1996-1073/17/2/503
6. “Internet of Things-Based Control of Induction Machines: Specifics of Electric Drives and Wind Energy Conversion Systems”
by Maria G. Ioannides, Anastasios P. Stamelos, Stylianos A. Papazis, Erofili E. Stamataki and Michael E. Stamatakis
Energies 2024, 17(3), 645; https://doi.org/10.3390/en17030645
Available online: https://www.mdpi.com/1996-1073/17/3/645
7. “Anomaly Detection on Small Wind Turbine Blades Using Deep Learning Algorithms”
by Bridger Altice, Edwin Nazario, Mason Davis, Mohammad Shekaramiz, Todd K. Moon and Mohammad A. S. Masoum
Energies 2024, 17(5), 982; https://doi.org/10.3390/en17050982
Available online: https://www.mdpi.com/1996-1073/17/5/982
8. “Data-Driven Models Applied to Predictive and Prescriptive Maintenance of Wind Turbine: A Systematic Review of Approaches Based on Failure Detection, Diagnosis, and Prognosis”
by Rogerio Adriano da Fonseca Santiago, Natasha Benjamim Barbosa, Henrique Gomes Mergulhão, Tassio Farias de Carvalho, Alex Alisson Bandeira Santos, Ricardo Cerqueira Medrado, Jose Bione de Melo Filho, Oberdan Rocha Pinheiro and Erick Giovani Sperandio Nasci
Energies 2024, 17(5), 1010; https://doi.org/10.3390/en17051010
Available online: https://www.mdpi.com/1996-1073/17/5/1010
9. “Interpretable Wind Power Short-Term Power Prediction Model Using Deep Graph Attention Network”
by Jinhua Zhang, Hui Li, Peng Cheng and Jie Yan
Energies 2024, 17(2), 384; https://doi.org/10.3390/en17020384
Available online: https://www.mdpi.com/1996-1073/17/2/384
10. “The Atmospheric Stability Dependence of Far Wakes on the Power Output of Downstream Wind Farms”
by Richard J. Foreman, Beatriz Cañadillas and Nick Robinson
Energies 2024, 17(2), 488; https://doi.org/10.3390/en17020488
Available online: https://www.mdpi.com/1996-1073/17/2/488