most citedA parametric model for wind turbine power curves incorporating environmental conditions

187 citations · 199 across the 3 of their papers we have counts for

collaborators

4 papers

stat.AP202011 cited

Towards a global dynamic wind atlas: A multi-country validation of wind power simulation from MERRA-2 and ERA-5 reanalyses bias-corrected with the Global Wind Atlas

Katharina Gruber, Peter Regner, Sebastian Wehrle +2

Reanalysis data are widely used for simulating renewable energy and in particular wind power generation. While MERRA-2 has been a de-facto standard in many studies, the newer ERA5-…

eess.SP20191 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.SP2019187 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…

stat.AP2019

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…