MIND FOUNDRY AI HAS BEEN USED TO:

Optimise electric vehicle charging station roll-out using Geospatial AI

Collaborate with AI to distribute power more efficiently with over 350,000 perfectly placed charging points.

 

Download our EV case study

Tell me how County Councils in the UK are using AI to find out where to place the 400,000 EV chargers that are needed to reach Net Zero.

Problem

 

By 2030 there are estimated to be over 10 million electric vehicles in the UK, which will require an additional 35,000 charging points to be installed each year, costing approximately £2.2 billion in infrastructure.

Building, maintaining and ensuring accessibility to these charge points, to balance short and long term demand in the face of uncertainty and changing legislation is a challenging task, but one that is critical to ensure smooth adoption of electric vehicles and keeping costs to a minimum.

 

EV Solution Application-1

 

Solution

 

Mind Foundry is working alongside Oxfordshire County Council, Energy Systems Catapult and others, combining Geospatial AI with variety of different data sources to intelligently model and predict the changing requirements for Electric Vehicle charging infrastructure.

 

The Mind Foundry Platform provides key optimisations in the workflows of planners, charge point operators and energy providers, allowing disparate departments to communicate and collaborate with AI at a more fundamental level than previously possible.

 

Connecting with live and historic data sources we provide next level granularity, scenario modelling and rollout planning capabilities that can be sensitive not just to immediate demand, but long term strategy, local constraints, individual needs and more.

Benefits

 
  • Optimise infrastructure budgets.

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  • Ensure ethical considerations for local communities.
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  • Better manage local and national electricity demand.unnamed-9
  • Increase profits from charging stations.

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LEARN MORE ABOUT OUR SOLUTIONS-2

 

 

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