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Conference & Workshop proceedings, paper, abstract

Using machine learning to predict renewable electricity generation, electricity demand, and electricity prices from climate data

Baumgartner J, Schmidt J, Gruber K. Using machine learning to predict renewable electricity generation, electricity demand, and electricity prices from climate data. In: European Geosciences Union (EGU) , editor. Geophysical Research Abstracts (GRA) 2019 [Internet]. Copernicus; 2019. Available from: meetingorganizer.copernicus.org/EGU2019/EGU2019-9567.pdf?EGUsphere
external links and characteristics of the publication:
Internet link to the document meetingorganizer.copernicus.org

BOKU Autors

Portrait Katharina Gruber

Katharina Gruber

Dipl.-Ing.Dr. Katharina Gruber MMSc.

Portrait Johannes Schmidt

Johannes Schmidt

Assoc. Prof. Priv.Doz.DI Dr.nat.techn. Johannes Schmidt

Portrait Johann Baumgartner

Johann Baumgartner

Dipl.-Ing. Johann Baumgartner