Johann Baumgartner
Dipl.-Ing. Johann Baumgartner
Status Currently not employed at BOKU
Career
- 2013 - 2016 Master Programme "Environment and Bio-Resources Management", University of Natural Resources and Life Sciences, Vienna
- 2009 - 2013 Bachelor Programme "Environment and Bio-Resources Management", University of Natural Resources and Life Sciences, Vienna
Projects
3 Projects found.
Globally and Locally-sustainable Food-Water-Energy Innovation in Urban Living Labs - INWE
Project type: Research project (§ 26 & § 27)
Project management: Mikovits Christian
BOKU organizational units involved: Institute of Sustainable Economic Development
funded by: Austrian Research Promotion Agency (FFG)
Project Staff: 01.05.2018 - 30.04.2021
duration: 01.05.2018 - 30.04.2021
Nachhaltiges Stickstoffmanagement unter klimawandel
Project type: Research project (§ 26 & § 27)
Project management: Mehdi-Schulz Bano
BOKU organizational units involved: Institute of Hydrology and Water Management, Institute of Sustainable Economic Development
funded by: National: Institutions under Public Law
Project Staff: 01.04.2018 - 30.06.2022
duration: 01.04.2018 - 30.06.2022
Translating climate data into power plants operational guidance
Project type: Research project (§ 26 & § 27)
Project management: Schmidt Johannes
BOKU organizational units involved: Institute of Sustainable Economic Development
funded by: Federal Ministries
Project Staff: 18.09.2017 - 31.12.2020
duration: 18.09.2017 - 31.12.2020
Publications
10 Publications found.
Stronger together: Multi-annual variability of hydrogen production supported by wind power in Sweden
Source: Mikovits C, Wetterlund E, Wehrle S, Baumgartner J, Schmidt J. Stronger together: Multi-annual variability of hydrogen production supported by wind power in Sweden. Applied Energy. 2021;282. doi:https://doi.org/10.1016/j.apenergy.2020.116082
Journal articles
external links and characteristics of the publication:
Less Information, Similar Performance: Comparing Machine Learning-Based Time Series of Wind Power Generation to Renewables.ninja
Source: Baumgartner J, Gruber K, Simoes S, Saint-Drenan Y, Schmidt J. Less Information, Similar Performance: Comparing Machine Learning-Based Time Series of Wind Power Generation to Renewables.ninja. Energies. 2020;13(9). doi:https://doi.org/10.3390/en13092277
Journal articles
external links and characteristics of the publication: The role of spatial resolution of climate data for the quality of simulated wind power generation-A multi-country analysis
Source: Gruber K, Baumgartner J, Klöckl C, Regner P, Schmidt J. The role of spatial resolution of climate data for the quality of simulated wind power generation-A multi-country analysis. In: European Geosciences Union (EGU) , editor. EGU General Assembly 2020 [Internet]. Copernicus GmbH; 2020. doi:https://doi.org/10.5194/egusphere-egu2020-9961
Conference & Workshop proceedings, paper, abstract
Using a neural network approach to correct for systematic biases in seasonal wind power electricity generation forecasting
Source: Baumgartner J, Schmidt J, Gruber K. Using a neural network approach to correct for systematic biases in seasonal wind power electricity generation forecasting. In: European Geosciences Union (EGU) , editor. EGU General Assembly 2020 [Internet]. Copernicus GmbH; 2020. doi:https://doi.org/10.5194/egusphere-egu2020-8154
Conference & Workshop proceedings, paper, abstract
Impacts of global warming on confined livestock systems for growing-fattening pigs: simulation of heat stress for 1981 to 2017 in Central Europe
Source: Mikovits C, Zollitsch W, Hortenhuber S, Baumgartner J, Niebuhr K, Piringer M, et al. Impacts of global warming on confined livestock systems for growing-fattening pigs: simulation of heat stress for 1981 to 2017 in Central Europe. International Journal of Biometeorology. 2019;63(2):221-30. doi:https://doi.org/10.1007/s00484-018-01655-0
Journal articles
external links and characteristics of the publication: Using machine learning to predict renewable electricity generation, electricity demand, and electricity prices from climate data
Source: 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
Conference & Workshop proceedings, paper, abstract
external links and characteristics of the publication:Assessing the Global Wind Atlas and local measurements for bias correction of wind power generation simulated from MERRA-2 in Brazil
Source: Gruber K, Klockl C, Regner P, Baumgartner J, Schmidt J. Assessing the Global Wind Atlas and local measurements for bias correction of wind power generation simulated from MERRA-2 in Brazil. Energy. 2019;189. doi:https://doi.org/10.1016/j.energy.2019.116212
Journal articles
external links and characteristics of the publication: The impact of climatic extreme events on the feasibility of fully renewable power systems: A case study for Sweden
Source: Holtinger S, Mikovits C, Schmidt J, Baumgartner J, Arheimer B, Lindstrom G, et al. The impact of climatic extreme events on the feasibility of fully renewable power systems: A case study for Sweden. Energy. 2019;178:695-713. doi:https://doi.org/10.1016/j.energy.2019.04.128
Journal articles
external links and characteristics of the publication: The challenges of a transition to a fully renewable power system under climatic extreme events
Source: Mikovits C, Baumgartner J, Schmidt J, Wetterlund E. The challenges of a transition to a fully renewable power system under climatic extreme events. In: COPERNICUS , editor. Geophysical Research Abstracts [Internet]. 2012. Available from: https://meetingorganizer.copernicus.org/EGU2019/EGU2019-2299.pdf
Conference & Workshop proceedings, paper, abstract
external links and characteristics of the publication:Impacts of heat stress and mitigation options in confined pig production
Source: Schönhart M, Schmid E, Mikovits C, Anders I, Andre K, Baumgartner J, et al. Impacts of heat stress and mitigation options in confined pig production. In: Österreichische Gesellschaft für Agrarökonomie ÖGA , editor. Tagungsband der 28. Jahrestagung der Österreichischen Gesellschaft für Agrarökonomie (gemeinsam veranstaltet mit dem ”Research Network on Economic Experiments for the CAP” (REECAP) und der Präkonferenz zum Thema ”Evaluierung von Gleichstellung in Ländlichen Entwicklungsprogrammen"): Methoden für eine evidenzbasierte Agrarpolitik - Erfahrungen, Bedarf und Entwicklungen. ÖGA; 2018.
Conference & Workshop proceedings, paper, abstract
external links and characteristics of the publication:
meetingorganizer.copernicus.orgKnowledge Transfer to Society
1 Publication found.
Globally and Locally-sustainable Food-Water-Energy Innovation in Urban Living Labs:
Source: Schauppenlehner, T, Ressar, K, Mitrofanenko, T, et al. Globally and Locally-sustainable Food-Water-Energy Innovation in Urban Living Labs: [Forschungsbericht (extern. Auftraggeber)]. 2019 p. 11.
Forschungsbericht (extern. Auftraggeber) Year: 2019
external links and characteristics of the publication:
Media
0 Media found.
Presentations
9 lecures found.
Year: 2020 - The role of spatial resolution of climate data for the quality of simulated wind power generation-A multi-country analysis
Art: Talk - Selected presentation
Autoren: Gruber, K; Baumgartner, J; Klöckl, C; Regner, P; Schmidt, J
Event: EGU General Assembly 2020
Period: 04.05.2020 - 08.05.2020 | Location: Vienna, Austria | Location: Wien, Österreich | Location: Wien, Österreich | Organizer: European Geosciences Union (EGU)
Year: 2020 - Using a neural network approach to correct for systematic biases in seasonal wind power electricity generation forecasting
Art: Talk - Selected presentation
Autoren: Baumgartner, J; Schmidt, J; Gruber, K
Event: EGU General Assembly 2020
Period: 04.05.2020 - 08.05.2020 | Location: Vienna, Austria | Location: Wien, Österreich | Location: Wien, Österreich | Organizer: European Geosciences Union (EGU)
Year: 2019 - Machine Learning Based Prediction of Wind Power Electricity Generation from Seasonal Climate Forecasts
Art: Talk - Selected presentation
Autoren: Baumgartner, J; Schmidt, J; Gruber, K;
Event: EGU General Assembly 2019
Period: 07.04.2019 - 12.04.2019 | Location: Vienna, Austria | Organizer: European Geosciences Union (EGU) | Organizer: European Geosciences Union (EGU) | Organizer: EGU General Assembly
Year: 2019 - Towards a global dynamic wind atlas: Assessing the quality of MERRA-2 and ERA5 reanalysis for wind power simulation without and with biascorrection using the Global Wind Atlas
Art: Talk - Selected presentation
Autoren: Gruber, K; Schmidt, J; Baumgartner, J; Klöckl, C; Regner, P
Event: 6th International Conference Energy & Meteorology 2025
Period: 24.06.2019 - 27.06.2019 | Location: 1357 Kopenhagen, Dänemark | Organizer: World Energy & Meteorology Council
Year: 2019 - Using machine learning to predict renewable electricity generation, electricity demand, and electricity prices from climate data
Art: Talk - Selected presentation
Autoren: Baumgartner, J; Schmidt, J; Gruber, K
Event: EGU General Assembly 2019
Period: 07.04.2019 - 12.04.2019 | Location: Vienna, Austria | Organizer: European Geosciences Union (EGU) | Organizer: European Geosciences Union (EGU) | Organizer: EGU General Assembly
Year: 2018 - Impacts of heat stress and mitigation options in confined pig production
Art: Talk - Selected presentation
Autoren: Schönhart, M; Schmid, E; Mikovits, C; Anders, I; Andre, K; Baumgartner, J; Hennig-Pauka, I; Hörtenhuber, S.J; Niebuhr, K; Pi ringer, M; Zollitsch, W; Schauberger, G;
Event: 28. Jahrestagung der Österreichischen Gesellschaft für Agrarökonomie ÖGA 2018 - Methoden für eine evidenzbasierte Agrarpolitik. Erfahrungen, Bedarf und Entwicklungen
Period: 27.09.2018 - 28.09.2018 | Location: Vienna, Austria | Organizer: Österreichische Gesellschaft für Agrarökonomie
Year: 2018 - Extreme net load events in fully renewable power systems: A 30 year case study for Sweden
Art: Poster - Selected presentation
Autoren: Höltinger, St; Baumgartner, J; Schmidt, J; Wetterlund, E;
Event: EGU General Assembly 2018
Period: 08.04.2018 - 13.04.2018 | Location: Wien | Location: Vienna, Austria | Organizer: European Geosciences Union (EGU) | Organizer: European Geoscience Union (EGU) | Organizer: European Geosciences Union (EGU) | Organizer: EGU General Assembly
Year: 2018 - Assessing the Impact of El Niño and La Niña on Brazilian wind-power generation with reanalysis based simulated time series
Art: Poster - Selected presentation
Autoren: Gruber, K; Schmidt, J; Baumgartner, J;
Event: EGU General Assembly 2018
Period: 08.04.2018 - 13.04.2018 | Location: Wien | Location: Vienna, Austria | Organizer: European Geosciences Union (EGU) | Organizer: European Geoscience Union (EGU) | Organizer: European Geosciences Union (EGU) | Organizer: EGU General Assembly
Year: 2018 - Evaluation of technical modelling approaches for data pre-processing in machine learning wind power generation models
Art: Poster - Selected presentation
Autoren: Baumgartner, J; Höltinger, St; Schmidt, J;
Event: EGU General Assembly 2018
Period: 08.04.2018 - 13.04.2018 | Location: Wien | Location: Vienna, Austria | Organizer: European Geosciences Union (EGU) | Organizer: European Geoscience Union (EGU) | Organizer: European Geosciences Union (EGU) | Organizer: EGU General Assembly
Supervised Theses
0 Publications found.