15 citations as recorded by crossref.

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3. A novel optimization method for maximizing wind farm performance through turbine positioning and yaw angle estimation S. Al-Rubaye & R. Gil-Pita https://doi.org/10.1016/j.enconman.2025.120546
4. An analytical modeling study on yaw-based wake redirection control for large-scale offshore wind farm annual energy power improvement J. Tan et al. https://doi.org/10.1063/5.0207111
5. Addressing deep array effects and impacts to wake steering with the cumulative-curl wake model C. Bay et al. https://doi.org/10.5194/wes-8-401-2023
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7. Serial-Refine Method for Fast Wake-Steering Yaw Optimization P. Fleming et al. https://doi.org/10.1088/1742-6596/2265/3/032109
8. Analytical solutions for yawed wind-turbine wakes with application to wind-farm power optimization by active yaw control Z. Zhang et al. https://doi.org/10.1016/j.oceaneng.2024.117691
9. Yaw Optimisation for Wind Farm Production Maximisation Based on a Dynamic Wake Model Z. Deng et al. https://doi.org/10.3390/en16093932
10. Optimizing yaw angles for improved power generation in offshore wind farms: A statistical approach I. Formoso https://doi.org/10.1016/j.oceaneng.2024.119830
11. Artificial intelligence-aided wind plant optimization for nationwide evaluation of land use and economic benefits of wake steering D. Harrison-Atlas et al. https://doi.org/10.1038/s41560-024-01516-8
12. Global optimization of wake steering for large-scale wind farms using generalized serial refinement method Y. Tu et al. https://doi.org/10.1016/j.apenergy.2025.127259
13. Data-driven Kriging modeling for power optimization in twin-rotor wind farms: A simplified equivalent cooperative yaw strategy Z. Zhang et al. https://doi.org/10.1016/j.energy.2026.142231
14. Decentralized yaw optimization for maximizing wind farm production based on deep reinforcement learning Z. Deng et al. https://doi.org/10.1016/j.enconman.2023.117031
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