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2009 International Joint Conference on Computational Sciences and Optimization
Combination Forecasting Model Based on Drift
Sanya, Hainan, China
April 24-April 26
ISBN: 978-0-7695-3605-7
| ASCII Text | x | ||
| Meijuan Li, Guohong Chen, Zhibing Lin, Binqing Cai, "Combination Forecasting Model Based on Drift," 2012 Fifth International Joint Conference on Computational Sciences and Optimization, vol. 2, pp. 443-446, 2009 International Joint Conference on Computational Sciences and Optimization, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/CSO.2009.26, author = {Meijuan Li and Guohong Chen and Zhibing Lin and Binqing Cai}, title = {Combination Forecasting Model Based on Drift}, journal ={2012 Fifth International Joint Conference on Computational Sciences and Optimization}, volume = {2}, year = {2009}, isbn = {978-0-7695-3605-7}, pages = {443-446}, doi = {http://doi.ieeecomputersociety.org/10.1109/CSO.2009.26}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 Fifth International Joint Conference on Computational Sciences and Optimization TI - Combination Forecasting Model Based on Drift SN - 978-0-7695-3605-7 SP443 EP446 A1 - Meijuan Li, A1 - Guohong Chen, A1 - Zhibing Lin, A1 - Binqing Cai, PY - 2009 VL - 2 JA - 2012 Fifth International Joint Conference on Computational Sciences and Optimization ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSO.2009.26
In order to make up shortage of existing forecasting models and improve forecasting precision and effectiveness, a new thought of combination forecasting model is given in this paper. Combination forecasting model based on drift is proposed by studying the drift and complementarity of different single forecasting models. The calculation steps of combination forecasting model based on drift are given. A practical example on Chinese energy consumption shows four forecast efficient measures (SSE, MAE, RMSE, MAPE) of combination forecasting model based on drift are better than single forecasting models, combination forecasting model based on drift can improve forecasting precision and it is effective in practice. Combination forecasting model based on drift is an effective forecasting model to make up shortage of existing forecasting models.
Citation:
Meijuan Li, Guohong Chen, Zhibing Lin, Binqing Cai, "Combination Forecasting Model Based on Drift," cso, vol. 2, pp.443-446, 2009 International Joint Conference on Computational Sciences and Optimization, 2009
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