An optimal combined forecasting method to prediction of ownership for private cars

Junchao Yang

COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12C) 582-584

School of Economic and Management Administration, North China Electric Power University, Beijing 102206, China

With the high speed economic development of China, the number of private cars is also increasing rapidly. However, car emission has an important influence for air pollution; it needs to consider controlling private cars demand when the government makes automotive industry’s strategy. It should forecast the future private car accuracy. In this article, a combined forecasting model with simulate anneal algorithm optimizing weights of private car is carried out. The proposed model can improve the performance of each single forecasting model such as regression, Grey and SVM. Finally, a case study with Chinese private cars number is presented, and the results are shown that the proposed model is superior to each single model.