A review of machine learning approaches for electric vehicle energy consumption modelling in urban transportation

X Zhang, Z Zhang, Y Liu, Z Xu, X Qu - Renewable Energy, 2024 - Elsevier
Global warming and carbon emissions have drawn attention to the need to decarbonize
transport. Promoting electric vehicles (EVs) has become an important strategy towards this …

[HTML][HTML] Factors influencing the adoption of zero-emission buses: A review-based framework

A Avenali, G Catalano, M Giagnorio… - … and Sustainable Energy …, 2024 - Elsevier
Zero-emission buses (ZEBs) currently face the challenge of switching from small-scale
implementation to large-scale deployment. This stage is affected by multiple decision …

Heterogeneous choice of personalized Mobility-as-a-Service bundles and its impact on sustainable transportation

B Wang, M Yang, T Feng, Y Yang, Y Yuan - Transportation research part D …, 2024 - Elsevier
The Mobility-as-a-service (MaaS) framework has the potential to induce changes in
individual travel behavior towards more sustainable transportation alternatives by …

Data-driven cooling, heating and electrical load prediction for building integrated with electric vehicles considering occupant travel behavior

X Zhang, X Kong, R Yan, Y Liu, P **a, X Sun, R Zeng… - Energy, 2023 - Elsevier
The access of electric vehicles facilitates in the fluctuation and diversification of building
load, accurate load prediction contributes to investigating the operation and optimization of …

[HTML][HTML] A review of the applications of explainable machine learning for lithium–ion batteries: From production to state and performance estimation

M Faraji Niri, K Aslansefat, S Haghi, M Hashemian… - Energies, 2023 - mdpi.com
Lithium–ion batteries play a crucial role in clean transportation systems including EVs,
aircraft, and electric micromobilities. The design of battery cells and their production process …

The impact of electromobility in public transport: An estimation of energy consumption using disaggregated data in Santiago, Chile

F Basso, F Feijoo, R Pezoa, M Varas, B Vidal - Energy, 2024 - Elsevier
Electromobility in public transport has become a promising way to reduce environmental
pollution. Several contributions have sought to estimate the energy consumption of buses in …

A real-time prediction framework for energy consumption of electric buses using integrated Machine learning algorithms

C Dong, Z **ong, N Li, X Yu, M Liang, C Zhang… - … Research Part E …, 2025 - Elsevier
An accurate prediction of energy consumption in electric buses (EBs) can effectively reduce
driving range anxiety and facilitate bus scheduling. Existing studies have not provided real …

Analysis of factors influencing energy consumption of electric vehicles: Statistical, predictive, and causal perspectives

H Huang, B Li, Y Wang, Z Zhang, H He - Applied Energy, 2024 - Elsevier
Analyzing the influence of various factors on the energy consumption of Electric Vehicles
(EVs) yields a positive impact on mitigating range anxiety. Nevertheless, prevailing research …

Intelligent energy consumption prediction for battery electric vehicles: A hybrid approach integrating driving behavior and environmental factors

Y Jiang, J Guo, D Zhao, Y Li - Energy, 2024 - Elsevier
The precise prediction of energy usage in Battery Electric Vehicles (BEVs) effectively
mitigates drivers' concerns over “mileage anxiety”. However, the conventional approach to …

Data-driven energy efficient speed planning for battery electric industrial vehicles: Forklift as a case study

Z Tong, S Guan, Q Zhang, XKE Cao - Journal of Cleaner Production, 2024 - Elsevier
Battery electric industrial vehicles (BEIVs) offer significant environmental protection and
decarbonization potential for rapidly growing logistics and transportation sectors in China …