Service Time Analysis For Electric Vehicle Charging Infrastructure
作者： Junghoon Lee , Gyung-Leen Park
DOI: 10.11591/IJECE.V8I2.PP818-824
关键词:
摘要: This paper analyzes electric vehicle charging patterns in Jeju City, taking advantage of open software such as MySQL, Hadoop, and R, well data obtained from the real-time charger monitoring system currently operation. Main observation points lie average service time, maximum number transactions, while we measure effect both temporal spatial factors to them. According analysis result, time is almost constant for all parameters. The 88.7 % transactions ranges 10 40 minutes, abnormally long occupy just 3.4 fast chargers. day-by-day difference 28.6 at maximum, Wednesday shows largest transactions. Additionally, geographic information-based tells that demand concentrated those regions having many tourist attractions administrative offices. With this analysis, it possible predict when a will be idle allocate another V2G or renewable energy integration.
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