Grey double exponential smoothing model and its application on pig price forecasting
Date
2016
Authors
Advisors
Journal Title
Journal ISSN
ISSN
1568-4946
Volume Title
Publisher
Elsevier
Type
Article
Peer reviewed
Yes
Abstract
To resolve the conflict between our desire for a good smoothing effect and desire to give additional weight to the recent change, a grey accumulating generation operator that can smooth the random interference of data is introduced into the double exponential smoothing method. The results of practical numerical examples have demonstrated that the proposed grey double exponential smoothing method outperforms the traditional double exponential smoothing method in forecasting problems.
Description
The file attached to this record is the authors final peer reviewed version. The version of record can be found by following the DOI link.
Keywords
forecasting, double exponential smoothing model, accumulating generation operator
Citation
Wu, L., Liu, S., Yang, Y. (2016) Grey double exponential smoothing model and its application on pig price forecasting. Applied Soft Computing, 39, pp. 117–123