A Northwestern investigator has developed an algorithm that facilitates the planning of future electric charging station infrastructure. With an expected increase in electric vehicles (EVs) over the next few years the availability of charging stations will become essential. This information system will enable key decision makers to deploy such an infrastructure by accounting for several key factors including: (1) EV demand; (2) the location of stations; and (3) the implied service time on car owners. These algorithms address those factors through state-of-the-art data analytics comprising of demand modeling data mining predictive analytics and optimization.
-Supports environmentally-friendly vehicles -Improves infrastructure planning -Reduces overall implementation costs -Reduces labor needs -Provides analyses of potential circumstances -Reduces potential overload at substations