9 citations as recorded by crossref.

1. An investigation of spatial wind direction variability and its consideration in engineering models A. von Brandis et al. 10.5194/wes-8-589-2023
2. Developing a dynamic-statistical downscaling framework for wind speed prediction for the Beijing 2022 Winter olympics H. Wang et al. 10.1007/s00382-024-07282-3
3. Ensemble Machine Learning greatly improves ERA5 skills for wind energy applications M. Cavaiola et al. 10.1016/j.egyai.2023.100269
4. Validating EURO-CORDEX climate simulations for modelling European wind power generation G. Luzia et al. 10.1016/j.renene.2023.118989
5. Correlation challenges for North Sea offshore wind power: a Norwegian case study M. Hjelmeland & J. Nøland 10.1038/s41598-023-45829-2
6. High-resolution working layouts and time series for renewable energy generation in Europe O. Grothe et al. 10.1016/j.renene.2024.121967
7. The impact of future UK offshore wind farm distribution and climate change on generation performance and variability J. Giddings et al. 10.1088/1748-9326/ad489b
8. Validation of European wind generation time series simulation: Importance of wakes, micro-scale adjustments and stochastic simulations S. Nayak et al. 10.1016/j.apenergy.2025.126882
9. Evaluating the mesoscale spatio-temporal variability in simulated wind speed time series over northern Europe G. Luzia et al. 10.5194/wes-7-2255-2022