Project with chargefinder.com
| Title | Project with chargefinder.com |
|---|---|
| Summary | Use data to create a machine learning model that can predict estimated availability of a specific charger based on day, time and maybe other external factors (holiday, weather) |
| Keywords | |
| TimeFrame | Fall 2023 |
| References | http://chargefinder.com/ |
| Prerequisites | |
| Author | |
| Supervisor | TBD, please contact Sławomir Nowaczyk if interested |
| Level | Master |
| Status | Open |
I’m currently helping out with another project chargefinder.com <http://chargefinder.com/> - a Swedish-made non-profit website and mobile app to lookup EV chargers and availability. Currently the #1 website in this industry in Sweden and Norway with over 100.000 unique visitors per month.
We have realtime availability status for most of the electric vehicle chargers in Sweden and have also collected historical metrics for the last 12 months in a structured format.
My vision is to use this data to create a machine learning model that can predict estimated availability of a specific charger based on day, time and maybe other external factors (holiday, weather etc).
If you think this could be an interesting project for the students this upcoming spring, please let me know and I will be happy to setup access to datasets and do a briefing about how everything works.
