Publications, Data, and Models
The reFUEL project follows the principles of open data, open source, and open access. On this page, we link to publications, associated data sets, and models.
Published Journal Papers
Exploiting Synergy of Carbon Pricing and Other Policy Instruments for Deep Decarbonization
Assessing simulation and bias correction methods for wind power generation in Brazil - can global datasets compete with local measurements.
Dimensionally sharp inequalities for the linear entropy
A new perspective on global renewable energy systems: why trade in energy carriers matters
Working Paper / Opinion
Reinforcement Learning Methods for Energy Market Auctions
Klöckl, C., Graf, C., Haydn, T., Schmidt, J. (2019). Reinforcement Learning Methods for Energy Market Auctions. 14.ÖGOR Workshop „Mathematische Ökonomie und Optimierung in der Energiewirtschaft“, 13.-14.Juni, Vienna.
Bias-correcting simulated wind power in Austria and in Brazil from the ERA-5 reanalysis data set with the DTU Wind Atlas.
The potential for repowering US wind turbines
Land cover patterns of wind generation infrastructure in Brazil
Applying the DTU Global Wind Atlas for bias correction of simulated nationally aggregated wind power generation time series in several countries
Gruber, K., Baumgartner, J., Klöckl, C., Schmidt, J. (2019). Applying the DTU Global Wind Atlas for bias correction of simulated nationally aggregated wind power generation time series in several countries. European Geosciences Conference 2019, Vienna.
Poster | Scripts
Assessing the impact of El Niño and La Niña on Brazilian wind-power generation with reanalysis based simulated time series.
Wind power potential assessment for the Czech Republic based on Austrian and Danish site characteristics.
Nitsch, F. (2018). Wind power potential assessment for the Czech Republic based on Austrian and Danish site characteristics. Master thesis, University of Natural Resources and Life Sciences, Vienna.
Master thesis | Data and Model released soon