Open Access
| Issue |
E3S Web Conf.
Volume 723, 2026
2026 International Conference on Artificial Intelligence in Energy and Infrastructure (AIEI 2026)
|
|
|---|---|---|
| Article Number | 02011 | |
| Number of page(s) | 6 | |
| Section | Renewable Energy, Power Electronics & Energy Conversion | |
| DOI | https://doi.org/10.1051/e3sconf/202672302011 | |
| Published online | 08 July 2026 | |
- D. Jasińska and M. Dutkiewicz, “Waste Management of Wind Turbine Blades-A Review of Recycling Methods and Applications in Cementitious Composites,” Sustainability, vol. 17, Jan. 2025. [Google Scholar]
- A. Yazdani, Chapter “Variable-Speed Wind-Power System,” in “Voltage-sourced converters in power systems”, United States of America, J. Wiley & Sons, 2010, pp. 385–412. [Google Scholar]
- O. Apata and D. T. O. Oyedokun, “An overview of control techniques for wind turbine systems,” Scientific African, vol. 10, Nov. 2020. [Google Scholar]
- N. Huang, “Simulation of power control of a wind turbine permanent magnet,” Marquette University, Milwaukee, 2013. [Google Scholar]
- A. Yazdani, Chapter “Variable-Frequency VSC System,” in “Voltage-sourced converters in power systems”, United States of America, J. Wiley & Sons, 2010, pp. 270–312. [Google Scholar]
- C. Ge, M. Liu, and J. Chen, “Modeling of Direct-Drive Permanent Magnet Synchronous Wind Power Generation System Considering the Power System Analysis in Multi-Timescales,” Energies, vol. 15, no. 20, Oct. 2022. [Google Scholar]
- A. Yazdani, Chapter “Grid-Imposed Frequency VSC System,” in “Voltage-sourced converters in power systems”, United States of America, J. Wiley & Sons, 2010, pp. 204–244. [Google Scholar]
- J. F. Manwell, J. G. McGowan, and A. L. Rogers, Wind Energy Explained: Theory, Design and Application, 2nd ed. Chichester, U.K.: Wiley, 2019. [Google Scholar]
- J. M. Jonkman et al., “Definition of the IEA 15-MW offshore reference wind turbine,” Nat. Renewable Energy Lab. (NREL), Golden, CO, USA, Tech. Rep., 2020. [Google Scholar]
- F. Hassanzadeh, H. Sangrody, A. Hajizadeh, and S. Akhlaghi, “Back-to-back converter control of grid-connected wind turbine to mitigate voltage drop caused by faults,” in Proc. North American Power Symposium (NAPS), Morgantown, WV, USA, 2017. [Google Scholar]
- M. H. Qais, H. M. Hasanien, and S. Alghuwainem, “Enhanced ANFIS-based control for wind energy conversion systems,” IEEE Access, vol. 8, pp. 123–135, 2020. [Google Scholar]
- M. a. S. A. Ben Smida, “Fuzzy pitch angle control for grid connected variable-speed wind turbine system,” in 7th International Renewable Energy Congress (IREC), Hammamet, 2016. [Google Scholar]
- J.-S. R. Jang, “ANFIS: Adaptive-Network-Based Fuzzy Inference System,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 23, no. 3, pp. 665–685, May 1993. [Google Scholar]
- S. Sahoo, B. Subudhi, and G. Panda, “Torque and pitch angle control of a wind turbine using multiple adaptive neuro-fuzzy control,” Wind Engineering, 2019. [Google Scholar]
- M. Elsisi, M.-Q. Tran, K. Mahmoud, M. Lehtonen, and M. M. F. Darwish, “Robust Design of ANFIS Based Blade Pitch Controller for Wind Energy Conversion Systems Against Wind Speed Fluctuations,” IEEE Access, vol. 9, pp. 37894–37904, 202 [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.