Machine learning prediction models for battery-electric bus energy consumption in transit
作者： Hany E.Z. Farag , Hany E.Z. Farag , Moataz Mohamed , Abdullah Al-Obaidi , Hatem Abdelaty
DOI: 10.1016/J.TRD.2021.102868
关键词:
摘要: The energy consumption (EC) of battery-electric buses (BEB) varies significantly due to the intertwined relationships of vehicular, operational, topological, and external parameters. This variation is posing several challenges to predict BEB's energy consumption. Several studies are calling for the development of data-driven models to address this challenge. This study develops and compares seven data-driven modelling techniques that cover both machine learning and statistical models. The models are based on a full-factorial …
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