A comparison study on electric vehicle growth forecasting based on grey system theory and NAR neural network

Xian Zhang,Yangyang Zhou,Ka Wing Chan,Xuesen Yang,Guibin Wang,Kexin Ye

doi:10.1109/smartgridcomm.2016.7778845

A comparison study on electric vehicle growth forecasting based on grey system theory and NAR neural network

Xian Zhang, Yangyang Zhou + Show 4 more

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https://doi.org/10.1109/smartgridcomm.2016.7778845

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Publication Date: Nov 1, 2016

Citations: 7

Affiliation: Hong Kong Polytechnic University, Shenzhen University

#Nonlinear Autoregressive Neural Network #Nonlinear Autoregressive + Show 8 more

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Abstract

Grey system forecasting theory model and nonlinear autoregressive (NAR) neural network model for forecasting the number of electric vehicles (EVs) in the city of Shenzhen are established in this paper separately. The number of EVs from 2006 to 2015 was used as the raw data in two models. The effectiveness of the two models are evaluated by various criteria. Afterward, the rationality, precision and the adaptability of the two models are compared. At last, the better model was used to forecasting the number of EVs in Shenzhen from 2016 to 2020.

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