187 citations · 267 across the 9 of their papers we have counts for
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eess.SP2019★ 1 cited
Machine learning models show similar performance to Renewables.ninja for generation of long-term wind power time series even without location information
Johann Baumgartner, Katharina Gruber, Sofia Simoes +2
Driven by climatic processes, wind power generation is inherently variable. Long-term simulated wind power time series are therefore an essential component for understanding the te…
eess.SP2019★ 187 cited
A parametric model for wind turbine power curves incorporating environmental conditions
Yves-Marie Saint-Drenan, Romain Besseau, Malte Jansen +7
A wind turbine's power curve relates its power production to the wind speed it experiences. The typical shape of a power curve is well known and has been studied extensively; howev…