Privacy Notice

Welcome on InKoMo

We put great importance to data protection and therefore use the data you provide to us with upmost care. You can handle the data you provide to us in your personal dashboard. You will find our complete regulations on data protection and clarification of your rights in our privacy notice. By using the website and its offers and navigating further, you accept the regulations of our privacy notice and terms and conditions.

Accept

Product

Using algorithms to find the best charging locations

Company: Geospin GmbH

Geospin has developed a self-learning algorithm that reliably calculates the expected utilization of a charging point for each location throughout Germany.

This page has been automatically translated. Click here for the original version.

Product / solution approach

Geospin has developed a self-learning algorithm that reliably calculates the expected utilization of a charging point for each location throughout Germany. This allows municipalities to easily and objectively select the best location and maximize the utilization of their charging infrastructure for electric vehicles.

Geospin offers the potential analysis in cooperation with smartlab Innovationsgesellschaft mbH and Thüga AG. Numerous municipal utilities have already benefited from the charging potential analysis, and it also won the Bronze Medal of the Digital Leader Awards in the "Society" category(https://www.thuega.de/presse/thuega-gewinnt-bronzemedaille-des-digital-leader-awards/).

Geospin's forecasting model objectively evaluates which locations are expected to have particularly high utilization of charging stations. The calculation is based on a huge data pool of historical usage data from around 180,000 charging processes and more than 700 pieces of external environmental information.

157231
Something went wrong on our side. Please try reloading the page and if the problem still persists, contact us via support@bable-smartcities.eu
Action successfully completed!