engleski

A Computational Framework for Managing Electric Vehicle Charging Infrastructure

Current trends suggest that there is an increase in the overall usage of electric vehicles (EV). This, in turn, is causing drastic changes in the transportation industry and, more broadly, in business, policymaking and society. One concrete challenge brought by the increase in the number of EVs is a higher demand for charging stations. This paper presents a computational framework that uses real world data to answer questions related to EV charging infrastructure, such as where to place new chargers and how many chargers are needed to bring energy utilization to a desirable level. Our framework allows one to predict charging station utilization even when EV charging infrastructure and/or contextual data change. We foresee that the proposed framework can be used by EV charging infrastructure providers as a decision support tool that prescribes an optimal area to place a new charging station.

electric vehicles ; green transportation ; charging infrastructure ; big data analytics ; computational framework

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