In countries like the UK, where the majority of drivers will rely on public charging stations to make this possible, finding out where to install these charging points is a complex problem. We need to understand infrastructure capacity, accessibility, the social impact and ethical implications that could arise from an unfair distribution of power.
The demand for EVs is growing exponentially in an effort to lower emissions in the future. However, with such an increased demand, local authorities must supply sufficient charging points installed in optimum positions. Incorrect charging locations could have dire consequences on local communities, be costly and inefficient to EV drivers.
Mind Foundry is successfully combining geospatial modelling with a variety of different data sources and advanced uncertainty awareness forecasting, to intelligently model and predict the changing requirements for EV charging infrastructure. Mind Foundry's AI platform is helping to deploy the right amount of EVs in the best location possible for Oxfordshire County Council.
Watch the video below to learn how Mind Foundry has
built a geospatial platform enabling energy leaders visualise,
understand, and solve this problem today.
Geospatial optimisation is just one of the many ways Mind Foundry is using machine learning to solve some of the world’s most important problems. To learn more, check out our case study on charge point optimisation and many of the other solutions we’ve built.
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