Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/54404
Title: A new approach to improve accuracy of grey model GMC (1,n) in time series prediction
Authors: Sompop Moonchai
Wanwisa Rakpuang
Keywords: Computer Science
Engineering
Mathematics
Issue Date: 1-Jan-2015
Abstract: © 2015 Sompop Moonchai and Wanwisa Rakpuang. This paper presents a modified grey model GMC(1,n) for use in systems that involve one dependent system behavior and n-1 relative factors. The proposed model was developed from the conventional GMC(1,n) model in order to improve its prediction accuracy by modifying the formula for calculating the background value, the system of parameter estimation, and the model prediction equation. The modified GMC(1,n) model was verified by two cases: the study of forecasting CO2emission in Thailand and forecasting electricity consumption in Thailand. The results demonstrated that the modified GMC(1,n) model was able to achieve higher fitting and prediction accuracy compared with the conventional GMC(1,n) and D-GMC(1,n) models.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84953214867&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/54404
ISSN: 16875605
16875591
Appears in Collections:CMUL: Journal Articles

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