Ivanova, T., Porchetta, S., Buckingham, S., van Beeck, J., & Munters, W. (2024). Improving Wind and Power Predictions via Four-Dimensional Data Assimilation in the WRF Model: Case Study of Storms in February 2022 at Belgian Offshore Wind Farms. Wind Energy Science 10 (1), 245 – 268
Ally, S., Verstraeten, T., Daems, P. J., Nowé, A., & Helsen, J. (2025). Modular deep learning approach for wind farm power forecasting and wake loss prediction. Wind Energy Science Discussions 10 (4), 779 – 812
Van den Bleeken, D., Smet, G., Van den Bergh, J., Dehmous, I., Degrauwe, D., Van Ginderachter, M., and Deckmyn, A. (2025) Improving wind power forecasts in the Belgian North Sea with a wind farm parameterization and a neural network, Adv. Sci. Res., 22, 59–67
Alreweny, A., Vandewalle, S. and Meyers, J., 2025. Weakly constrained 4D-Var reconstruction of turbulence in the atmospheric boundary layer using large eddy simulation. Journal of Computational Physics, p.114517.
Porchetta, S., Howland, M., Borgers, R., Buckingham, S., & Munters, W (2024). Annual wake impacts in and between wind farm clusters modelled by a mesoscale numerical weather prediction model and fast-running engineering models. Wind Energy Science Discussions (preprint, under review)
Palatos-Plexidas, A., Gremmo, S., van Beeck, J., De Cruz, L., & Munters, W. (2025). Assessing the Accuracy of a Three-Year High-Resolution Mesoscale Wind Farm Wake Simulation with Lidar and Satellite Radar Data. Wind Energy Science Discussions (preprint, under review)
Gebel, Jakob, et al. "System identification of offshore wind turbines for model updating and validation using field measurements." Wind Energy Science Discussions 2025 (2025): 1-25.
Glabeke, G., Gigon, A., De Mulder, T. and Van Beeck, J., 2024, June. How accurate are ultrasonic anemometers, calibrated in a laminar wind tunnel, under turbulent conditions?. In Journal of Physics: Conference Series (Vol. 2767, No. 4, p. 042023). IOP Publishing
Gebel, Jakob, et al. "Wind turbine blade root and blade bearing fatigue damage estimation based on field data." Forschung im Ingenieurwesen 89.1 (2025): 16
Marini, Rebeca, et al. "An assessment of the metocean conditions in the Belgian offshore zone." Journal of Physics: Conference Series. Vol. 3131. No. 1. IOP Publishing, 2025
D3.2 : Data assimilation into microscale LES and wake models
Glabeke, G., Buckingham, S., De Multer, T., van Beeck, J. Anomalous wind events over the Belgian North Sea at heights relevant to wind energy. Wind Energy Science Conference, 23-26 May 2023, Glasgow, UK.
Munters, W., Glabeke, G., Kale, B., Gillyns, E., Buckingham, S., van Beeck, J. Weathering the storm: A large-eddy simulation study of offshore wind flows in transient weather conditions. Wind Energy Science Conference, 23-26 May 2023, Glasgow, UK.
Ally S. et al. Modular deep learning approach for wind farm power forecasting and wake loss prediction. NAWEA/Windtech 2023 conference, Oct. 30 - Nov. 1 2023, Denver, USA
Alreweny, A., Vandewalle, S. and Meyers, J., 2024, June. Weakly constrained 4D-Var data assimilation in ABL using LES. In ECCOMAS2024, Date: 2024/06/03-2024/06/07, Location: Lisbon, Portugal.
Ivanova, T. et al. “Improving offshore wind predictions & Investigating precipitation variability.” Summer school on Remote Sensing at DTU (June 2024). Pdf available at Cris-VUB portal
Munters, W. et al. “The BeFORECAST project – wind power forecasting for the Belgian offshore wind farms.” Annual Meeting of the EMS, 7 – 12 September 2025, Ljubljana, Slovenia
Gebel, J. "Impact of Grid Services on Fatigue Life of Offshore Wind Turbine Components." Wind Energy Science Conference (June 24th – 27th 2025), Nantes, France
Glabeke, G. et al. "Observational Study and Probabilistic modeling of Low-Level Jet events happening over the Belgian part of the North Sea." Wind Energy Science Conference (June 24th – 27th 2025), Nantes, France
Badarinath, K., Yazicioglu, H., Van den Bleeken, D., Meng, R., Smet, G., & Van den Bergh, J.. “Impact of recent weather and SCADA data on short-term wind power forecasting: A deep learning approach.” Wind Energy Science Conference (June 24th – 27th 2025), Nantes, France
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