Research on Forecasting Sales of Pure Electric Vehicles in China Based on the Seasonal Autoregressive Integrated Moving Average–Gray Relational Analysis–Support Vector Regression Model

Research on Forecasting Sales of Pure Electric Vehicles in China Based on the Seasonal Autoregressive Integrated Moving Average–Gray Relational Analysis–Support Vector Regression Model

Aiming to address the complexity and challenges of predicting pure electric vehicle (EV) sales, this paper integrates a time series model, support vector machine and combined model to forecast EV sales in China. Firstly, a seasonal autoregressive integrated moving average (SARIMA) model was construc...

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Bibliographic Details
Main Authors: Ru Yu, Xiaoli Wang, Xiaojun Xu, Zhiwen Zhang
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Systems
Subjects:
pure electric vehicle
sales forecasting
combined model theory
seasonal autoregressive integrated moving average model
gray relational analysis
support vector regression model
Online Access:https://www.mdpi.com/2079-8954/12/11/486
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