期刊论文、会议论文

Xiao, Yi

英文

2015 International Conference on Logistics, Informatics and Service Sciences (LISS)

2015

1-6

International Conference on Logistics, Informatics and Service Sciences (LISS)

JUL 27-29, 2015

Beijing Jiaotong Univ, Int Ctr Informat Res, Barcelona, SPAIN

Beijing Jiaotong Univ, Int Ctr Informat Res

Beijing Jiaotong Univ, China Ctr Ind Secur Res, Beijing Jiaotong Univ, Sch Econ & Management, IEEE SMC, Natl Nat Sci Fdn China, K C Wong Educ Fdn, Sino EU Doctoral Sch Sustainabil Engn, EU FP7, Beijing Logist Informat Res Base, Key Lab Logist Management & Technol Beijing

Zhang, Z Zhang, R Fernandez, V Liu, S

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-4799-1891-1

10.1109/LISS.2015.7369754

本校为通讯机构

It is very significant for us to predict future energy consumption accurately. As for China's energy consumption annual time series, the sample size is relatively small. This study combines the traditional auto-regressive model with group method of data handling (GMDH) suitable for small sample prediction, and proposes a novel GMDH based auto-regressive (GAR) model. This model can finish the modeling process in self-organized manner, including finding the optimal complexity model, determining the optimal auto-regressive order and estimating model parameters. Further, four different GAR models,...