A Hybrid Machine Learning and Physics-based Approach for Accurate Energy Consumption Modeling of Electric Buses in Public Transport

Lucas Franck Frederic Adam, Robert Pellerin and Bruno Agard

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Department:	Department of Mathematics and Industrial Engineering
Research Center:	CIRRELT - Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation LID - Laboratoire en intelligence des données
PolyPublie URL:	https://publications.polymtl.ca/65988/
Journal Title:	Sensors & Transducers (vol. 268, no. 1)
Publisher:	International Frequency Sensor Association
Official URL:	https://www.proquest.com/scholarly-journals/hybrid...
Date Deposited:	05 Jun 2025 15:39
Last Modified:	05 Jun 2025 15:39

Cite in APA 7:	Adam, L. F. F., Pellerin, R., & Agard, B. A Hybrid Machine Learning and Physics-based Approach for Accurate Energy Consumption Modeling of Electric Buses in Public Transport. Sensors & Transducers, 268(1), 45-58. https://www.proquest.com/scholarly-journals/hybrid-machine-learning-physics-based-approach/docview/3212840245/se-2?accountid=40695
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