New energy vehicle ownership prediction based on improved Solow model

Huanlun Du; Suhua Lou

doi:10.1117/12.3015195

6 February 2024 New energy vehicle ownership prediction based on improved Solow model

Huanlun Du, Suhua Lou

Proceedings Volume 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023); 129791U (2024) https://doi.org/10.1117/12.3015195
Event: 9th International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 2023, Guilin, China

Abstract

It is of great significance to predict the number of new energy vehicles in China in the next 20 years to ensure the normal operation of the future power grid and guide the future planning of the power grid. Multiple linear regression models have the advantage of considering the influence of multiple related factors when predicting the future diffusion of products; Solow models have the advantage of translating technological progress and labor capital inputs when predicting economic growth. After considering the possible trend of China's scientific and technological development and policy changes in the next 20 years, the above two models predict the ownership of new energy vehicles in China by 2040. Prediction results show that China's new energy vehicles will develop rapidly in the next ten years. Still, the growth will be slow around 2040 due to the decrease in investment increment and the saturation of policies.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Huanlun Du and Suhua Lou "New energy vehicle ownership prediction based on improved Solow model", Proc. SPIE 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 129791U (6 February 2024); https://doi.org/10.1117/12.3015195

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available