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Stefan Scheubner
Observed name:
Scheubner, Stefan
Institution:
Energie Baden-Württemberg (Germany)
Observed institutions:
Karlsruhe Institute of Technology,
Energie Baden-Württemberg (Germany),
Dr Falk Pharma (Germany),
ZURZACH Care AG
ORCID:
0000-0002-7955-0659
Observed ORCID:
0000-0002-7955-0659
OpenAlex ID:
A5046153302
Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles With Federated Learning
2021
·
Adam Thor Thorgeirsson
, Stefan Scheubner
, et al.
·
IEEE Open Journal of Vehicular Technology
·
59
PDF
A Stochastic Range Estimation Algorithm for Electric Vehicles Using Traffic Phase Classification
2019
·
Stefan Scheubner
, Adam Thor Thorgeirsson
, et al.
·
IEEE Transactions on Vehicular Technology
·
41
An Investigation Into Key Influence Factors for the Everyday Usability of Electric Vehicles
2020
·
Adam Thor Thorgeirsson
, Stefan Scheubner
, et al.
·
IEEE Open Journal of Vehicular Technology
·
17
PDF
Analysis of the simultaneity factor of fast-charging sites using Monte-Carlo simulation
2023
·
Finn Silber
, Stefan Scheubner
, et al.
·
International Journal of Electrical Power & Energy Systems
·
15
Evaluating system architectures for driving range estimation and charge planning for electric vehicles
2020
·
Adam Thor Thorgeirsson
, Moritz Vaillant
, et al.
·
Software Practice and Experience
·
12
PDF
Validation of range estimation for electric vehicles based on recorded real-world driving data
2019
·
Patrick Petersen
, Jacob Langner
, et al.
·
Proceedings
·
6
Training and Validation Methodology for Range Estimation Algorithms
2019
·
Patrick Petersen
, Adam Thorgeirsson
, et al.
·
International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS)
·
4
Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
2021
·
Scheubner, Stefan
·
Repository KITopen (Karlsruhe Institute of Technology)
Absicherung der Reichweitenschätzung basierend auf aufgezeichneten Realdaten
2019
·
Patrick Petersen
, Stefan Otten
, et al.
·
ATZextra
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Works count:
9
Citation count:
154
H-index:
6
I10-index:
5
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