Since the European Union wants to reduce the oil dependence of the transportation system, the uptake of alternative vehicle technologies are stimulated in the member states. In the Netherlands, stimulation is already largely implemented in the form of a comprehensive charging infrastructure. This infrastructure is widely used by the electric vehicle drivers and thus there may occur a form of competition for the charging points. In this paper we address this problem by predicting the short-term availability of charging points at a given location and time by using the historical charging data in a space-time series model. The model shows better accuracy with respect to a naive method for short term predictions up to one day. This will allow charging point operators to provide customers with the service of looking up estimated charging point availability in the nearby future.
|Number of pages||10|
|Publication status||Published - 2016|
|Event||30th International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium - Stuttgart, Germany|
Duration: 9 Oct 2017 → 11 Oct 2017
|Conference||30th International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium|
|Period||9/10/17 → 11/10/17|