This project was made for an assignment in the course Data Science Capstone Project at the IMC University of Applied Sciences Krems. Dataset was provided by Siemens. The data is owned by Siemens and is not publicly available.
Our main goals were to identify charging events, group them to make them easier to comprehend, and look for any relationships between charging patterns and the days of the week. We wanted to learn important things about how EV charging works so we could tailor the charging infrastructure. To do this, we mostly looked at wallbox data.
The report and presentation can be found in the report folder.