Kang, J., Shim, B., Oh, S., & Kim, T. (2026). Reinforcement learning guidance for jet-powered fixed-wing UAVs via system identification. Under review.Â
Kim, T. (2026). A physics-aware surrogate model based on a graph neural network for mitigating directional discretization bias in wind farm layout optimization. Energy Conversion and Management, 369, 122029.
- JCR 2025: Q1, Top 2%; JIF 11.8
Kim, T., Kim, C., Song, J., & You, D. (2024). Optimal control of a wind farm in time-varying wind using deep reinforcement learning. Energy, 303, 131950.
- JCR 2024: Q1, Top 5%; JIF 9.4
Kim, T., Song, J., & You, D. (2024). Optimization of a wind farm layout to mitigate the wind power intermittency. Applied Energy, 367, 123383.
- JCR 2024: Q1, Top 10%; JIF 11.0
Kim, T., Song, J., & You, D. (2024). Optimal yaw control of a wind farm based on computational fluid dynamics. Journal of Computational Fluids Engineering, 29(2), 74-84.
Song, J., Kim, T., & You, D. (2023). Particle swarm optimization of a wind farm layout with active control of turbine yaws. Renewable Energy, 206, 738-747.
- JCR 2023: Q1, Top 15%; JIF 9.0