Tobias Veihelmann
Christian Tobias Veihelmann, M. Sc.
Researcher and PhD Student
Cauerstr. 7 / 2. OG
91058 Erlangen
Department of Electrical-Electronic-Communication Engineering
Lehrstuhl für Elektrische Smart City-Systeme
Cauerstr. 7 / 2. OG
91058 Erlangen
- Phone number: +49 9131 85-20986
- Email: tobi.veihelmann@fau.de
- Website: https://www.escs.tf.fau.de
Tobias graduated with honors with a master’s degree in Information Systems in June 2021 at the University of Bamberg, building on his bachelor’s degree in Industrial Engineering and Management from the FAU. After having gained practical experience in industrial companies, he joined the Chair of Electrical Smart City Systems in October 2022. His current research focuses on new approaches to energy transition targeting smart cities.
| since 10/2022 | Research Associate and PhD Student
Chair for Electrical Smart City Systems Department Elektrotechnik-Elektronik-Informationstechnik (FAU) |
| 10/2018-06/2021 | M.Sc. in Information Systems at University of BambergMajors: Data Analytics/Machine Learning, Energy InformaticsMaster’s Thesis: “Social norms and their influence on learning behavior with online content – Results of a randomized controlled field trial” |
| 10/2013-08/2017 | B.Sc. in Industrial Engineering and Management at FAU Erlangen-NurembergMajors: Forming Technology, Plastics, Sustainability ManagementBachelor‘s Thesis: “Engagement der Automobilhersteller beim Ausbau der Ladeinfrastruktur – Perspektiven des Geschäftsmodell-, Stakeholder- und Coopetition-Konzepts |
| 02/2016-07/2016 | Study Abroad Program at RMIT University, Melbourne |
- Resilient energy systems
- Smart Cities and renewable energy
- IoT Technologies for Smart Cities
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- , , :
How Connected Cars Can Improve Solar Forecasting - Expanding the Scale of Local Sensor Networks
41st European Photovoltaic Solar Energy Conference and Exhibition (forthcoming) (Vienna, 23. September 2024 - 27. September 2024) - , , , :
How Connected Cars Could Capture Cloud Dynamics for Solar Forecasting—Evidence from Two Simulation Scenarios
In: Solar RRL (2024)
ISSN: 2367-198X
DOI: 10.1002/solr.202400470 - , , , :
Using Probe Counts to Provide High-Resolution Detector Data for a Microscopic Traffic Simulation
In: Vehicles 6 (2024), p. 747-764
ISSN: 2624-8921
DOI: 10.3390/vehicles6020035
- , , , :
Leveraging gradient-boosted trees to combine FFT, correlation and Fréchet-distance features for clear-sky detection
40th European Photovoltaic Solar Energy Conference and Exhibition (Lissabon, 18. September 2023 - 22. September 2023)
DOI: 10.4229/EUPVSEC2023/4DV.4.27
URL: https://userarea.eupvsec.org/proceedings/EU-PVSEC-2023/4DV.4.27/
- , , :
Leveraging social norms to encourage online learning: Empirical evidence from a blended learning course
2020 International Conference on Information Systems - Making Digital Inclusive: Blending the Local and the Global, ICIS 2020
URL: https://www.scopus.com/record/display.uri?eid=2-s2.0-85103451819&origin=inward
- Digital Transformation in the Energy and Mobility Sector (DITEM)
No posts found.