Forecast of electric vehicle sales in the world and China based on PCA-GRNN

M Wu, W Chen - Sustainability, 2022 - mdpi.com
Since electric vehicles (EVs) could reduce the growing concerns on environmental pollution
issues and relieve the social dependency of fossil fuels, the EVs market is fast increased in …

Regional differences in China's electric vehicle sales forecasting: Under supply-demand policy scenarios

B Liu, C Song, X Liang, M Lai, Z Yu, J Ji - Energy Policy, 2023 - Elsevier
Policy incentives are the key driving force for the electric vehicle (EV) market cultivation.
During the EV market cultivation in different regions, the supply-side and demand-side …

Using machine learning methods to predict electric vehicles penetration in the automotive market

S Afandizadeh, D Sharifi, N Kalantari… - Scientific Reports, 2023 - nature.com
Electric vehicles (EVs) have been introduced as an alternative to gasoline and diesel cars to
reduce greenhouse gas emissions, optimize fossil fuel use, and protect the environment …

Demand and supply gap analysis of Chinese new energy vehicle charging infrastructure: Based on CNN-LSTM prediction model

B Li, X Lv, J Chen - Renewable Energy, 2024 - Elsevier
The sales of new energy vehicles (NEVs) and the construction of charging infrastructure
promote and constrain each other. It is crucial for the development of the new energy vehicle …

Charging station forecasting and scenario analysis in China

B Liu, J Song, Q Wang, Y Xu, Y Liu - Transport Policy, 2023 - Elsevier
China's electric vehicle industry has gained momentum due to multiple factors, but there is
still a gap in demand for charging stations. China's subsidy policy for EVs is gradually …

Forecasting the sales and stock of electric vehicles using a novel self-adaptive optimized grey model

S Ding, R Li - Engineering Applications of Artificial Intelligence, 2021 - Elsevier
To alleviate the threatening pressure of energy shortage and environmental issues, the
adoption of electric vehicles (EVs) is regarded as an effective measure. Therefore, accurate …

Electric vehicle charging demand forecasting using deep learning model

Z Yi, XC Liu, R Wei, X Chen, J Dai - Journal of Intelligent …, 2022 - Taylor & Francis
Greenhouse gas (GHG) emission and excessive fuel consumption have become a pressing
issue nowadays. Particularly, CO2 emissions from transportation account for approximately …

China's electric vehicle deployment: Energy and greenhouse gas emission impacts

F Liu, F Zhao, Z Liu, H Hao - Energies, 2018 - mdpi.com
The explosion of the vehicle market in China has caused a series of problems, like energy
security, climate change, air pollution, etc. The deployment of electric vehicles (EVs) is …

Prediction of electric vehicles charging demand: A transformer-based deep learning approach

S Koohfar, W Woldemariam, A Kumar - Sustainability, 2023 - mdpi.com
Electric vehicles have been gaining attention as a cleaner means of transportation that is
low-carbon and environmentally friendly and can reduce greenhouse gas emissions and air …

A systematic methodology for mid-and-long term electric vehicle charging load forecasting: The case study of Shenzhen, China

Y Zheng, Z Shao, Y Zhang, L Jian - Sustainable Cities and Society, 2020 - Elsevier
More and more adoptions of electric vehicles (EVs) would bring a potential threat on the
existing electric grid. In this context, a systematic methodology is presented in this paper to …