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A matrix approach to detect temporal behavioral patterns at electric vehicle charging stations
Based on the electric vehicle (EV) arrival times and the duration of EV connection to the charging station, we identify charging patterns and derive groups of charging stations with similar charging patterns applying two approaches.
Explaining the distribution of energy consumption at slow charging infrastructure for electric vehicles from socio-economic data
We identified the most influential features correlated with energy consumption, indicating that the spatial context of the charging infrastructure affects its utilization pattern.
Predicting popularity of EV charging infrastructure from GIS data
The availability of charging infrastructure is essential for large-scale adoption of electric vehicles (EV).
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