emobpy is a Python open-source tool that enables us to generate battery electric vehicle time series. The tool was released in 2020 on Gitlab and PyPI for the first time. A description of the tool was published as an open-access article in Scientific Data. Now we have just passed the 10K downloads!.
We want to reach out to everyone who uses emobpy or is interested in learning the tool. Together with you, we aim to build a community and make emobpy an even more fantastic tool for electric vehicles modellers.
Opening and welcome
Introduction to emobpy
Why does aggregating single-unit data results in overestimating flexibility potentials
Optimizing investment and operation of an electrical company fleet
|11.10||Pause / Break
Comparing energy supply costs for electric vehicles and low carbon fuels
Dr. William Lilley
Modeling Electric Vehicles from the Perspective of the German Electrical Power System
Discussion about benefits, limitations, improvements, and how to build a community
Moderator Dr. Wolf-Peter Schill
|2.00 - 4.00 p.m.||
Installation; Jupyter notebook: time-series generation, plots and export functions