Prediction of Electric Vehicle Sales Based on Grey Linear Regression Model

Di Liang; Ya Feng Hu

doi:10.4028/www.scientific.net/AMR.1006-1007.477

Paper Titles

Spare-Part Optimization Modeling for a Mixed Multi-Echelon Inventory System
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The Research and Application on Location of Distribution Center Based on Grey Theory and AHP
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The Study of Reliable Model on the Maximal Forecast Time of Complicatedly Mechanical System
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Application of DEA Model Based on FCE in the Cigarette Packaging System Mode Evaluation
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Prediction of Electric Vehicle Sales Based on Grey Linear Regression Model
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Reliability Analysis for One-Shot Product with Weibull Lifetime Components ─ An Empirical Study
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Research on the Application of Activity-Based Costing Based on the Concept of the New Accounting Standards
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The Study of Eliminate Companies Seven Wastes of Enterprises Based on the Theory of Industrial Engineering and Lean Production
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Maintainability Modeling of NC Machine Tools Based on Repair Time
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1006-1007Prediction of Electric Vehicle Sales Based on Grey...

Prediction of Electric Vehicle Sales Based on Grey Linear Regression Model

Abstract:

With increasing awareness of environmental protection, electric vehicle becomes more and more important in daily life. The electric vehicle sales forecast can occupy a favorable position in the unpredictably market. The grey theory is mainly applied to single exponential growth of data sequence, as well as the linear regression model needs to collect a large quantity of data. For these problems, this paper puts forward the grey linear regression model to predict the electric vehicle sales and result is calculated by using Matlab programming. Matlab is software which can carry out numerical calculation. The feasibility of this combination model is verified through the example. It can obtain higher prediction accuracy by collecting relative little data. The combination model has a lot of advantages in the electric vehicle sales prediction.