Are you curious how EVTools can support your organization in the transition to sustainable mobility? Please feel free to contact us!
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The forecast is based on public data and advanced models. This includes a predictive algorithm from the Sparkcity model, developed in collaboration with TU Eindhoven. Furthermore, public data sources such as CBS, RDW, Kadaster, grid operators, BGT, LISA, Top10NL, and CROW are utilized, and the forecast is validated against the conditions set by the National Charging Infrastructure Agenda (NAL).
A forecast map in Maps visualizes the predictions for electric vehicles and charging demand for various target groups, such as residents, visitors, and commuters, at street level up to 200m.
A planning map in Maps displays proposed charging locations based on forecasts, placement criteria, and EVTools' best practices.
If you cannot find the answer to your question in the FAQ, you can email your questions to [email protected]. We will answer your question within 2 business days.
Several key points are important to highlight:
EVTools believes in an open and neutral IT landscape to support public and commercial entities, independent of any tendering party or contract type. All parties can enable their digital applications to collaborate using Application Programming Interfaces (APIs). This accelerates the scaling of charging infrastructure, minimizes societal costs, and stimulates competition.
Do you have questions about our products and services? Please do not hesitate to contact our team!
We are always ready to answer your technical questions, whenever you require our assistance.
