A Spatial-Temporal Model for Locating Electric Vehicle Charging Stations

A perfect charging station network plays a key role in Electric Vehicle (EV) adoption. In order to find optimal cost to construct the network and maximize satisfaction of usage consideration, we proposes a data driven framework for solving the problem of locating the charging station. Spatial-temporal models are built to analyze the EV usage behavior in the urban area. The features such as charging demand, high energy consumption area, and highly traveled paths are captured. We evaluate the proposed models on a real-world EV dataset. The results clearly demonstrate the efficiency and accuracy of our models on locating EV charging stations.