Title :
Combination Forecasting Model Based on Drift
Author :
Li, Meijuan ; Chen, Guohong ; Lin, Zhibing ; Cai, Binqing
Author_Institution :
Sch. of Manage., Fuzhou Univ., Fuzhou, China
Abstract :
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.
Keywords :
energy consumption; forecasting theory; Chinese energy consumption; MAE; MAPE; RMSE; SSE; combination forecasting model based on drift; forecast efficient measure; forecasting model shortage make up; mean absolute error; mean absolute percentage error; root mean squared error; sum squared error; Conference management; Energy consumption; Energy measurement; Fitting; Load forecasting; Predictive models;
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
DOI :
10.1109/CSO.2009.26