Machine-learning-based carbon dioxide concentration prediction for hybrid vehicles

HIGHLIGHTS

  • who: David Tena-Gago and collaborators from the School of Computing, Engineering and Physical Sciences, University of the West of Scotland (UWS), High Street, Paisley , BE, UK have published the research: Machine-Learning-Based Carbon Dioxide Concentration Prediction for Hybrid Vehicles, in the Journal: Sensors 2023, 23, 1350. of /2023/
  • what: The study is focused on the prediction of CO2 exhaust concentrations emitted by HVs. The model was trained in the first route data and was used to predict the emissions of the second route. The results reflected in this study are about 27% less . . .

     

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