26 citations as recorded by crossref.

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3. Comparison of wind power estimates from the ECMWF reanalyses with direct turbine measurements P. Kiss et al. https://doi.org/10.1063/1.3153903
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5. Dampening variations in wind power generation—the effect of optimizing geographic location of generating sites L. Reichenberg et al. https://doi.org/10.1002/we.1657
6. Contrasting Electricity Demand with Wind Power Supply: Case Study in Hungary P. Kiss et al. https://doi.org/10.3390/en20400839
7. Geophysical constraints on the reliability of solar and wind power in the United States M. Shaner et al. https://doi.org/10.1039/C7EE03029K
8. Spatial optimality and temporal variability in Australia’s wind resource A. Gunn et al. https://doi.org/10.1088/1748-9326/ad0253
9. Model study of combined wind and solar electricity production in Hungary I. Jánosi https://doi.org/10.1063/1.4803528
10. Probabilistic Model for Wind Speed Variability Encountered by a Vessel I. Rychlik & W. Mao https://doi.org/10.4236/nr.2014.513072
11. Temporal and spatial simultaneity assessment of wind-solar energy resources in India by statistical analysis and machine learning clustering approach H. Jani et al. https://doi.org/10.1016/j.energy.2022.123586
12. Brief communication "Spatial and temporal variation of wind power at hub height over Europe" S. Gisinger et al. https://doi.org/10.5194/npg-20-305-2013
13. Combined wind-solar electricity production potential over north-western Africa I. Jánosi et al. https://doi.org/10.1016/j.rser.2021.111558
14. Quantifying the variability of wind energy S. Watson https://doi.org/10.1002/wene.95
15. Sectoral Interactions as Carbon Dioxide Emissions Approach Zero in a Highly-Renewable European Energy System T. Brown et al. https://doi.org/10.3390/en12061032
16. Variability of interconnected wind plants: correlation length and its dependence on variability time scale C. St. Martin et al. https://doi.org/10.1088/1748-9326/10/4/044004
17. Optimizing wind/solar combinations at finer scales to mitigate renewable energy variability in China L. Liu et al. https://doi.org/10.1016/j.rser.2020.110151
18. Characterization of wind power resource in the United States U. Gunturu & C. Schlosser https://doi.org/10.5194/acp-12-9687-2012
19. Principal Mismatch Patterns Across a Simplified Highly Renewable European Electricity Network M. Raunbak et al. https://doi.org/10.3390/en10121934
20. Geographic aggregation of wind power-an optimization methodology for avoiding low outputs L. Reichenberg et al. https://doi.org/10.1002/we.1987
21. Space-time variability of climate variables and intermittent renewable electricity production – A review K. Engeland et al. https://doi.org/10.1016/j.rser.2017.05.046
22. Characterization of the Wind Power Resource in Europe and its Intermittency A. Cosseron et al. https://doi.org/10.1016/j.egypro.2013.08.008
23. Exploring the suitability of MERRA-2 reanalysis data for wind energy estimation, analysis of wind characteristics and energy potential assessment for selected sites in Pakistan R. Rabbani & M. Zeeshan https://doi.org/10.1016/j.renene.2020.03.100
24. Large-scale wind energy potential of the Caribbean region using near-surface reanalysis data X. Chadee & R. Clarke https://doi.org/10.1016/j.rser.2013.09.018
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26. Principal flow patterns across renewable electricity networks F. Hofmann et al. https://doi.org/10.1209/0295-5075/124/18005