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![]() ![]() | Nguyen, T.-H. (2025). Improved Modelling of Offshore Wind Generation Using Machine Learning - On a Reliable Supply of Electricity in Future Power Systems [Doctoral thesis, UMONS - University of Mons]. ORBi UMONS-University of Mons. https://orbi.umons.ac.be/handle/20.500.12907/52052 |
![]() ![]() | Nguyen, T.-H., Toubeau, J.-F., Jaeger, E. D., & Vallée, F. (2023). Fast and Reliable Modelling of Offshore Wind Generation for Adequacy Studies. IEEE Transactions on Industry Applications, 1-10. doi:10.1109/tia.2023.3307076 ![]() |
![]() ![]() | Nguyen, T.-H., Toubeau, J.-F., De Jaeger, E., & Vallée, F. (October 2022). Adequacy assessment using data-driven models to account for aerodynamic losses in offshore wind generation. Electric Power Systems Research, 211, 108599. doi:10.1016/j.epsr.2022.108599 ![]() |
Nguyen, T.-H., Toubeau, J.-F., De Jaeger, E., & Vallée, F. (2022). Adequacy Assessment Using Data-Driven Models to Account for Aerodynamic Losses in Offshore Wind Generation [Paper presentation]. 22nd IEEE Power Systems Computation Conference, PSCC 2022, Porto, Portugal. |
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Nguyen, T.-H., Toubeau, J.-F., De Jaeger, E., & Vallée, F. (2021). Machine Learning Proxies Integrating Wake Effects in Offshore Wind Generation for Adequacy Studies [Paper presentation]. IEEE 21th International Conference on Environment & Electrical Engineering, EEIC 2021, Bari, Italy. |