Electrical Vehicle Charging Stations Network


In this project, we collect data from an electric vehicle charging network, which records electric vehicle drivers’ daily charging information such as charging location, charging time, amount paid for charging. The main objective is to create a system that can help data owner identify the relationships between different data attributes, so that the pricing strategy of charging stations at different locations can be determined more precisely. In addition to the pricing strategy, deciding an optimal number of charging stations at different locations is also critical to the data owner to maximize the utility of the charging equipment as well as to reduce the chance for drivers to apply unnecessary charging.



Researchers

Jia-Kai Chou received his Ph.D. degree in information management from National Taiwan University of Science and Technology. He is currently a post-doctoral researcher in Computer Science at University of California, Davis. He is working with Professor Kwan-Liu Ma in the Visualization and Interface Design Innovation research group (VIDi). His research interests involve information visualization, visual analytics and multimedia systems.

Huu Tan is a Masters student in Computer Science at the University of California, Davis. Huu Tan is working under Professor Kwan-Liu Ma in the Visualization and Interface Design Innovation (ViDi) research group. His main research interests include: High Performance Visualization, Scientific Visualization, GPU development, and Big Data Analysis.