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Nguyen Thuy-Hai

Université de Mons - UMONS > Faculté Polytechnique > Service de Génie Electrique


Main Research Fields
Electrical & electronics engineering
Energy
Main Keywords
Adequacy; Aerodynamic effect; Aerodynamic loss; Computational constraints; Data-driven model;
Main Co-authors
Toubeau, Jean-François 
VALLEE, François 
De Jaeger, Emmanuel
Wang, Yi
KHALOIE, Hooman 

Publications (total 5)

The most downloaded
5 downloads
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 https://hdl.handle.net/20.500.12907/43383
The most cited
1 citations (Scopus®)
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 presented at IEEE 21th International Conference on Environment & Electrical Engineering, EEIC 2021, Bari, Italy. https://hdl.handle.net/20.500.12907/11316

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
Peer Reviewed verified by ORBi

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 presented at 22nd IEEE Power Systems Computation Conference, PSCC 2022, Porto, Portugal.

Toubeau, J.-F., Nguyen, T.-H., Khaloie, H., Wang, Y., & Vallée, F. (2022). Forecast-Driven Stochastic Scheduling of a Virtual Power Plant in Energy and Reserve Markets. IEEE Systems Journal, 16 (4), 5212-5223. doi:10.1109/JSYST.2021.3114445
Peer Reviewed verified by ORBi

Toubeau, J.-F., Nguyen, T.-H., Khaloie, H., Wang, Y., & Vallée, F. (2021). Forecast-Driven Stochastic Scheduling of a Virtual Power Plant in Energy and Reserve Markets. IEEE Systems Journal.
Peer Reviewed verified by ORBi

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 presented at IEEE 21th International Conference on Environment & Electrical Engineering, EEIC 2021, Bari, Italy.

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