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A hybrid rolling grey framework for short time series modelling
Cui, Zhesen Wu, Jinran Ding, Zhe Duan, Qibin Lian, Wei Yang, Yang Cao, Taoyun
Cui, Zhesen
Wu, Jinran
Ding, Zhe
Duan, Qibin
Lian, Wei
Yang, Yang
Cao, Taoyun
Abstract
Time series modelling is gaining spectacular popularity in the prediction process of decision making, with applications including real-world management and engineering. However, for short time series, prediction has to face unavoidable limitation for modelling extremely complex systems. It has to apply inadequate and incomplete data from short time to predict unknown observations. With such limited data source, existing techniques, such as statistical modelling or machine learning methods, fail to predict short time series effectively. To address this problem, this paper provides a global framework for short time series modelling predictions, integrating the rolling mechanism, grey model, and meta-heuristic optimization algorithms. In addition, dragonfly algorithm and whale optimization algorithm are investigated and deployed to optimize the framework by enhancing its predicting accuracy with less computational costs. To verify the performance of the proposed framework, three industrial cases are introduced as simulation experiments in this paper. Experimental results confirm that the framework solves corresponding short time series modelling predictions with greater accuracy and speed than the standard GM(1,1) models. The source codes of this framework are available at: https://github.com/zhesencui/HybridRollingGreyFramework.git.
Keywords
short time series, rolling mechanism, grey model, meta-heuristic optimization algorithms, forecasting
Date
2021
Type
Journal article
Journal
Neural Computing and Applications
Book
Volume
33
Issue
17
Page Range
11339-11353
Article Number
ACU Department
Institute for Positive Psychology and Education
Faculty of Education and Arts
Faculty of Education and Arts
Relation URI
Source URL
Event URL
Open Access Status
License
All rights reserved
File Access
Controlled