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A framework for BEB energy prediction using low-resolution open-source data-driven model

  • Published:2022-02 Issue: Volume:103 Page:103170
  • ISSN:1361-9209
  • Container-title:Transportation Research Part D: Transport and Environment
  • language:en
  • Short-container-title:Transportation Research Part D: Transport and Environment

Author:

Abdelaty Hatem,Mohamed Moataz

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

General Environmental Science,Transportation,Civil and Structural Engineering

Reference44 articles.

1. Machine learning prediction models for battery-electric bus energy consumption in transit;Abdelaty;Transp. Res. Part D,2021

2. Energy consumption uncertainty model for battery-electric buses in transit;Abdelaty,2021

3. A prediction model for battery electric bus energy consumption in transit;Abdelaty;Energies,2021

4. Altoona, 2015. FEDERAL TRANSIT BUS TEST, Manufacturer: New Flyer, Model: XE40.

5. CanElevation, 2021. Open Government. High Resolution Digital Elevation Model (HRDEM) - CanElevation Series.https://open.canada.ca/en.

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