Prediction of SO2 emission from industrial sector in Shanghai city based on novel discrete grey model

摘要：

　　In order to reduce the modeling errors of the discrete grey prediction model and increase the stability of the solution,this paper presents the fractional-order reverse accumulative discrete grey forecasting model(FORA-DGM(1,1)model).The perturbation bounds of the model was analyzed through the matrix perturbation theory.And it is proved that the FORA-DGM(1,1)model has the smaller perturbation bounds of solution than traditional discrete grey forecasting model.Thus,it has good stability.Finally,the FORA-DGM(1,1)mode was applied to predict the SO2 emission from industrial sector in Shanghai city.The modeling results show that the simulation error and prediction error of FORA-DGM(1,1)mode was less than traditional discrete grey forecasting mode,especially in the prediction aspects.And it verified the validity and practicability of the FORA-DGM(1,1)mode.

关键词： Fractional-order Reverse accumulation Perturbation bounds SO2 emission

作者: Liu Jiefang Liu Sifeng Wu Lifeng Fang Zhigeng

作者单位: School of Mathematical Science,Henan Institute of Science and Technology,Xinxiang 453003,P R China;C College of Economics and Management,Nanjing University of Aeronautics and Astronautics,Nanjing,21001

会议类型: 国内会议

会议名称: 第28届全国灰色系统学术会议

会议地点: 武汉

会议语种:英文

页码: 171-181

在线出版日期: 2016-04-22（万方平台首次上网日期，不代表论文的发表时间）