Modeling and analytics tools for electric mobility
Use-cases at the urban level
DOI:
https://doi.org/10.62161/sauc.v11.6017Keywords:
Transportation, Electric mobility, Electric vehicles, Flexibility, Data, Vehicle-to-Grid, Digital tools, DLR-MobilityLab, Modeling, Smart City, Artificial Intelligence, Machine LearningAbstract
The integration of the transportation and electricity sectors presents both a challenge and an opportunity for the European energy system. On the one hand, large amounts of electricity are needed to power the electric vehicles, thereby, requiring a more accurate prediction of the demand in short-term and in the future. On the other hand, utilizing the Vehicle-to-Grid technology can provide grid services. Designing, management, and planning of the infrastructure requires sophisticated data-driven tools. This paper highlights a selection of the existing tools of the DLR (German Aerospace Center) developed for the modeling and analysis of the integrated electric mobility sector.
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