A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Charging station forecasting and scenario analysis in China
Abstract 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 withdrawing from the market and increasing subsidies for charging facilities to stabilize the growth of EVs. Taking the number of EVs as the decision parameter, this paper proposes a multi-factor combination prediction model of grey correlation and long and short-term memory. The model predicts that the number of EVs in China will reach 1.02 billion by 2030. The importance of factors is discussed qualitatively through scenario setting analysis of EV electricity consumption and power supply. It is found that charging stations in China will show varying degrees of growth from 2021 to 2030. Finally, corresponding suggestions are put forward for charging stations, including charging subsidies, technology R&D innovation policies, and licensing quotas.
Highlights Influence degree of influencing factors on charging station construction. Problems Faced by the Growth of Electric Vehicles. Electric vehicle's demand for char station. Policy Suggestions on Charging Station Construction.
Charging station forecasting and scenario analysis in China
Abstract 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 withdrawing from the market and increasing subsidies for charging facilities to stabilize the growth of EVs. Taking the number of EVs as the decision parameter, this paper proposes a multi-factor combination prediction model of grey correlation and long and short-term memory. The model predicts that the number of EVs in China will reach 1.02 billion by 2030. The importance of factors is discussed qualitatively through scenario setting analysis of EV electricity consumption and power supply. It is found that charging stations in China will show varying degrees of growth from 2021 to 2030. Finally, corresponding suggestions are put forward for charging stations, including charging subsidies, technology R&D innovation policies, and licensing quotas.
Highlights Influence degree of influencing factors on charging station construction. Problems Faced by the Growth of Electric Vehicles. Electric vehicle's demand for char station. Policy Suggestions on Charging Station Construction.
Charging station forecasting and scenario analysis in China
Liu, Bingchun (author) / Song, Jiangji (author) / Wang, Qingshan (author) / Xu, Yan (author) / Liu, Yifan (author)
Transport Policy ; 139 ; 87-98
2023-05-29
12 pages
Article (Journal)
Electronic Resource
English
A scenario approach to demand forecasting
| British Library Conference Proceedings | 2004