Optimal drive train management of wind turbine using LiDAR-assisted predictive control strategy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Economics and Econometrics,Geography, Planning and Development
Link
https://link.springer.com/content/pdf/10.1007/s10668-023-03324-8.pdf
Reference38 articles.
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2. Abdelbaky, M. A., Liu, X., & Jiang, D. (2020). Design and implementation of partial offline fuzzy model-predictive pitch controller for large-scale wind-turbines. Renewable Energy, 145, 981–996. https://doi.org/10.1016/j.renene.2019.05.074
3. Acarer, S., Uyulan, Ç., & Karadeniz, Z. H. (2020). Optimization of radial inflow wind turbines for urban wind energy harvesting. Energy, 202, 117772. https://doi.org/10.1016/j.energy.2020.117772
4. Aydoğan, B. (2017). Offshore wind power atlas of the Black Sea Region. Journal of Renewable and Sustainable Energy, 9(1), 13305. https://doi.org/10.1063/1.4976968
5. Barroco Fontes Cunha, F., de Miranda, A., Mousinho, M. C., Carvalho, L., Fernandes, F., Castro, C., Santana Silva, M., & Andrade Torres, E. (2021). Renewable energy planning policy for the reduction of poverty in Brazil: Lessons from Juazeiro. Environment, Development and Sustainability, 23(7), 9792–9810. https://doi.org/10.1007/s10668-020-00857-0
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