13 citations as recorded by crossref.

1. Hybrid and Ensemble Methods of Two Days Ahead Forecasts of Electric Energy Production in a Small Wind Turbine P. Piotrowski et al. 10.3390/en14051225
2. Hybrid use of an observer-based minute-scale power forecast and persistence F. Theuer et al. 10.1088/1742-6596/2265/2/022047
3. Observer-based power forecast of individual and aggregated offshore wind turbines F. Theuer et al. 10.5194/wes-7-2099-2022
4. Alignment of scanning lidars in offshore wind farms A. Rott et al. 10.5194/wes-7-283-2022
5. A Multi-Scale Method for PM2.5 Forecasting with Multi-Source Big Data W. Yuan et al. 10.1007/s11424-023-1378-7
6. Estimating the benefit of Doppler wind lidars for short‐term low‐level wind ensemble forecasts T. Nomokonova et al. 10.1002/qj.4402
7. Offshore wind farm global blockage measured with scanning lidar J. Schneemann et al. 10.5194/wes-6-521-2021
8. Analysis of the effects of scanning trajectory parameters on minute-scale lidar forecasting M. Ortensi et al. 10.1088/1742-6596/2265/2/022002
9. Big Data in Forecasting Research: A Literature Review L. Tang et al. 10.1016/j.bdr.2021.100289
10. Scalable electromagnetic energy harvester for wind turbine rotor blade applications M. Schlögl et al. 10.1088/1361-665X/ad3e52
11. Comparison of near wind farm wake measurements from scanning lidar with engineering models A. Anantharaman et al. 10.1088/1742-6596/2265/2/022034
12. Short-Term Wind Power Forecasting at the Wind Farm Scale Using Long-Range Doppler LiDAR M. Pichault et al. 10.3390/en14092663
13. Increased power gains from wake steering control using preview wind direction information B. Sengers et al. 10.5194/wes-8-1693-2023