Data Driven Energy Economy Prediction for Electric City Buses Using Machine Learning

Data Driven Energy Economy Prediction for Electric City Buses Using Machine Learning

Electrification of transportation systems is increasing, in particular city buses raise enormous potential. Deep understanding of real-world driving data is essential for vehicle design and fleet operation. Various technological aspects must be considered to run alternative powertrains efficiently....

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Bibliographic Details
Main Authors: Roman Michael Sennefelder, Ruben Martin-Clemente, Ramon Gonzalez-Carvajal, Dimitar Trifonov
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Battery electric buses
energy demand prediction
feature extraction
machine learning
meta modeling
Online Access:https://ieeexplore.ieee.org/document/10239151/

Internet

https://ieeexplore.ieee.org/document/10239151/

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