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Abstract
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Article Information:
Prediction Models of Energy Consumption Structure of Shandong Province of China
Jiekun Song and Hailing Wang
Corresponding Author: Jiekun Song
Submitted: July 27, 2012
Accepted: September 03, 2012
Published: February 21, 2013 |
Abstract:
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In order to predict the energy consumption structure of Shandong province of China, linear regression model, gray model and ARIMA model are constructed respectively. On the basis of the single predicted results, the optimal weighted combination model is constructed for combination prediction of Shandong province's energy consumption structure. The empirical test shows that combination prediction model can effectively increase the prediction accuracy, providing a new method for the energy consumption structure prediction.
Key words: Combination prediction, energy consumption structure, Shandong province, single prediction, , ,
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Cite this Reference:
Jiekun Song and Hailing Wang, . Prediction Models of Energy Consumption Structure of Shandong Province of China. Research Journal of Applied Sciences, Engineering and Technology, (06): 2073-2077.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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