The process presented in this article serves anyone looking to install an EV charging station, from city councils who are working towards net zero emissions to any entity seeking to host supercharger.

The process leverages AI for data mining, efficiently processing the data through its algorithms to derive valuable and understandable insights. By interpolating various data sources such as the average income per neighborhood, land use, road categorization, population density, power excess, leisure areas, and others, the Observatory outputs a quantitative analysis of the ideal spots to install new EV charging stations, and identifies the existing EV chargers that would benefit from an upgrade.

This study presents unbiased results obtained through data interpolation. The analysis assists entities in identifying opportunities within EV industry. Participants conducting this study in their respective cities can present it to their city councils to obtain licenses for starting operations of their EV charging stations network.

In this particular case, the Observatory examines the most populated area of Barcelona. The results highlight the areas with demand for EV infrastructure and pin points the exact areas to install new EV infrastructure.

Note: This analysis is adjustable to various needs and applied to every city worldwide