Energy-Efficient Anomaly Detection and Chaoticity in Electric Vehicle Driving Behavior

Detection of abnormal situations in mobile systems not only provides predictions about risky situations but also has the potential to increase energy efficiency. In this study, two real-world drives of a battery electric vehicle and unsupervised hybrid anomaly detection approaches were developed. Th...

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