Vehicle Energy Consumption in Python: A tool to simulate load flexibility of electric vehicle fleets.
Welcome to VencoPy!
- Authors: Niklas Wulff, Fabia Miorelli
- Contact: firstname.lastname@example.org
A data processing tool offering hourly demand and flexibility profiles for future electric vehicle fleets in an aggregated manner.
Depending on if you want to use VencoPy or if you want to contribute, there are two different installation procedures described in VencoPy's documentation:
I want to contribute to the codebase, the documentation or the tutorials
In order to start using VencoPy, check out our tutorials. For this you won't need any additional data.
To run VencoPy in full mode, you will need the data set Mobilität in Deutschland (German for mobility in Germany). You can request it here from the clearingboard transport: https://daten.clearingstelle-verkehr.de/order-form.html Currently, VencoPy is so far only tested with the B2 data set of MiD 2008 and MiD 2017.
Enjoy the tool, we're happy to receive feedback!
We use PEP-8, with the exception of lowerCamelCase for method and variable names as well as UpperCamelCase for classes.
The documentation can be found here: https://vencopy.readthedocs.io/en/latest/index.html To build the documentation from a conda bash with an activated environment type:
sphinx-build -b html ./docs/ ./build/
- Documentation: https://vencopy.readthedocs.io/en/latest/index.html#
- Source code: https://gitlab.com/dlr-ve/vencopy
- PyPI release: https://pypi.org/project/vencopy
- Licence: https://opensource.org/licenses/BSD-3-Clause
Want to contribute?
Great, welcome on the VencoPy team! Please read our contribute section in the documentation and reach out to Niklas (email@example.com). If experience difficulties on set up or have other technical questions, join our gitter community
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