Interpretable machine learning models for predicting Ebus battery consumption rates in cold climates with and without diesel auxiliary heating
The global shift towards sustainable and environmentally friendly transportation options has led to the increasing adoption of electric buses (Ebuses). To optimize the deployment and operational strategies of Ebuses, it is imperative to accurately predict their energy consumption under varying condi...
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| Main Authors: | Kareem Othman, Diego Da Silva, Amer Shalaby, Baher Abdulhai |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-04-01
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| Series: | Green Energy and Intelligent Transportation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2773153724001026 |
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