Hogeschool van Amsterdam

Intelligent Data-driven Optimisation of Charging Infrastructure

Prediction of necessary public charging infrastructure of electric vehicles

Conference

In this study we developed models in order to predict the need for public charging points. These models give municipalities an insight into various environmental and consumer related factors that determine the need for public charging points for electric vehicles in the neighbourhood. These factors include, amongst others, the average gross monthly income of households in a certain neighbourhood and the overall number of cars in a certain neighbourhood. On the basis of the models it turns out, among other factors, that neighbourhoods with households with a relatively high average gross monthly income, and a relatively high number of cars, need a relatively large number of public charging points for electric vehicles.

Reference Van Montfort, K., Van Der Poel, G., Visser, J., & Van Den Hoed, R. (2016). Prediction of necessary public charging infrastructure of electric vehicles. In IET Conference Publications (CP691 ed., Vol. 2016). Institution of Engineering and Technology. https://doi.org/10.1049/cp.2016.0984
Published by  IDO-Laad 1 January 2016