Multi-variable weakening buffer operator and its application
Date
2016-04-20
Authors
Advisors
Journal Title
Journal ISSN
ISSN
0020-0255
1872-6291
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