222 citations · 573 across the 10 of their papers we have counts for
4 papers · 1 filter
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…
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…
The perils of automated fitting of datasets: the case of a wind turbine cost model
Claude Klöckl, Katharina Gruber, Peter Regner +2
Rinne et al. conduct an interesting analysis of the impact of wind turbine technology and land-use on wind power potentials, which allows profound insights into each factors contri…
Assessing the Global Wind Atlas and local measurements for bias correction of wind power generation simulated from MERRA-2 in Brazil
Katharina Gruber, Claude Kloeckl, Peter Regner +2
NASAs MERRA-2 reanalysis is a widely used dataset in renewable energy resource modelling. The Global Wind Atlas (GWA) has been used to bias-correct MERRA-2 data before. There is, h…