Predictive models of electric vehicle adoption in the United States: Charging ahead with renewable energy-Reference-Cited by-同舟云学术

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Predictive models of electric vehicle adoption in the United States: Charging ahead with renewable energy

Published:2024-03 Issue: Volume:24 Page:101041
ISSN:2590-1982
Container-title:Transportation Research Interdisciplinary Perspectives
language:en
Short-container-title:Transportation Research Interdisciplinary Perspectives

Author:

Kamis Arnold^ORCID,Susan Abraham Preethi

Publisher

Elsevier BV

Reference52 articles.

1. Peeking inside the black-box: a survey on explainable artificial intelligence (XAI);Adadi;IEEE Access,2018

2. Mobile charging stations for electric vehicles — A review;Afshar;Renew. Sustain. Energy Rev.,2021

3. Diesel, petrol or electric vehicles: What choices to improve urban air quality in the Ile-de-France region? A simulation platform and case study;Andre;Atmos. Environ.,2020

4. Technical and economic assessment of the secondary use of repurposed electric vehicle batteries in the residential sector to support solar energy;Assunção;Appl. Energy,2016

5. Ensembles for feature selection: A review and future trends;Bolón-Canedo;Information Fusion,2019

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1. Prospect and sustainability prediction of China's new energy vehicles sales considering temporal and spatial dimensions;Journal of Cleaner Production;2024-08

2. Green Energy Supply for Sustainable Electric Farming Mobility Charging Application;Advances in Civil and Industrial Engineering;2024-06-30

3. The role of new energy vehicles battery recycling in reducing China's import dependance on lithium resources;Energy & Environment;2024-06-10

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