Multi-variable weakening buffer operator and its application

Date

2016-04-20

Advisors

Journal Title

Journal ISSN

ISSN

0020-0255
1872-6291

Volume Title

Publisher

Elsevier

Type

Article

Peer reviewed

Yes

Abstract

To weaken the disturbances of multi-variable and reveal the real situation, it is proved that the essence of the weakening buffer operator (abbreviated as WBO) can weaken the disturbance of one variable. According to this, the multi-variable weakening buffer operator is put forward. The multi-variable weakening buffer operator can satisfy the desire to use the freshest data and its buffer effect is obvious when the sample size is small. Four real cases show that the proposed multi-variable weakening buffer operator has higher forecasting performances.

Description

Keywords

Forecasting, Gray system theory, Weakening buffer operator, Multiple linear regression, Energy demand forecasting

Citation

Wu, L., Liu, S., Yang, Y., Ma, L., Liu, H. (2016) Multi-variable weakening buffer operator and its application. Information Sciences, 339, pp. 98-107

Rights

Research Institute