1 citations · 1 across the 6 of their papers we have counts for
6 papers
Uncertainty in wind and solar projections depends on global and regional climate models
Nina Effenberger, Reto Knutti
Ensembles of regional-global climate model combinations show substantial spread in projected wind and solar resources. Using 31 RCM-GCM pairs, we quantify the sources of this sprea…
Bridging CORDEX and CMIP6: Machine Learning Downscaling for Wind and Solar Energy Droughts in Central Europe
Nina Effenberger, Maxim Samarin, Maybritt Schillinger +1
Reliable regional climate information is essential for assessing the impacts of climate change and for planning in sectors such as renewable energy; yet, producing high-resolution…
Climate data selection for multi-decadal wind power forecasts
Sofia Morelli, Nina Effenberger, Luca Schmidt +1
Reliable wind speed data is crucial for applications such as estimating local (future) wind power. Global Climate Models (GCMs) and Regional Climate Models (RCMs) provide forecasts…
Turbine location-aware multi-decadal wind power predictions for Germany using CMIP6
Nina Effenberger, Nicole Ludwig
Climate change will impact wind and therefore wind power generation with largely unknown effect and magnitude. Climate models can provide insights and should be used for long-term…
Mind the (spectral) gap: How the temporal resolution of wind data affects multi-decadal wind power forecasts
Nina Effenberger, Nicole Ludwig, Rachel H. White
To forecast wind power generation in the scale of years to decades, outputs from climate models are often used. However, one major limitation of the data projected by these models…
A Collection and Categorization of Open-Source Wind and Wind Power Datasets
Nina Effenberger, Nicole Ludwig
Wind power and other forms of renewable energy sources play an ever more important role in the energy supply of today's power grids. Forecasting renewable energy sources has theref…