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J. Schmidt

12 papers hereh-index 322.9k citations100 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5
  • last author6

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • econ.GN3
  • stat.AP3
  • eess.SP2
  • econ.TH1
  • eess.SY1
  • physics.soc-ph1
same name
  • J. Schmidt — 14 papers, h 4
  • J. Schmidt — 13 papers, h 9
  • J. Schmidt — 13 papers, h 21
  • J. Schmidt — 11 papers, h 8
  • J. Schmidt — 7 papers, h 10
  • J. Schmidt — 6 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182024
most citedReviewing methods and assumptions for high-resolution large-scale onshore wind energy potential assessments

222 citations · 499 across the 12 of their papers we have counts for

collaborators
Showing stat.APShow all

3 papers · 1 filter

stat.AP2020★ 11 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-…

stat.AP2019

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…

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…

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