Title: Prediction of energy conservation and emission reduction potential of new energy vehicle industry based on grey model

Authors: Hong Li; Chunyu Zhang

Addresses: Yantai Engineering & Technology College, Yantai, China ' Yantai Engineering & Technology College, Yantai, China

Abstract: In order to overcome the problems of low accuracy and long time-consuming of traditional methods, a prediction method of energy conservation and emission reduction potential of new energy vehicle industry based on grey model is proposed. Determine the carbon emission of energy consumption of new energy vehicle industry and calculate the energy efficiency value of new energy vehicle industry. According to the calculation results of energy efficiency value, the grey correlation analysis method is used to determine the correlation degree between the prediction factors of energy conservation and emission reduction potential of automobile industry, and the correlation degree coefficient is introduced into the grey model for energy conservation and emission reduction potential prediction to realise the prediction of energy conservation and emission reduction potential. Experimental results show that the prediction accuracy of this method is up to 99.19%, and the maximum prediction time is 0.7 s and the minimum is 0.4 s.

Keywords: grey model; decoupling concept; grey correlation analysis; correction coefficient; conserve energy; reduce emissions.

DOI: 10.1504/IJGEI.2023.129505

International Journal of Global Energy Issues, 2023 Vol.45 No.2, pp.125 - 137

Received: 26 Feb 2022
Accepted: 31 May 2022
Published online: 10 Mar 2023 *

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