Title :
Analysis and Predictions of Shanghai´s Economic Growth and Energy Consumption Based on Small Sample Theory
Author :
Chen, Jibo ; Wang, Guizhi ; Lu, Ling
Author_Institution :
Coll. of Math. & Phys., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
Abstract :
This paper introduces two models. One is a new model on causality detection which is established to adapt characteristics of small samples and used to analyze the relationship between economic growth and energy consumption in Shanghai during the State 9th and 10th Five Years Plan. The other is optimal prediction model which is used to forecast the economic status and energy consumption situation during the State 11th Five Years Plan. More ideal achievements are obtained through the analysis of both two models.
Keywords :
economic forecasting; macroeconomics; sampling methods; Shanghai economic growth prediction; causality detection; economic status forecast; energy consumption; small sample theory; state 9th five years plan; Economic forecasting; Energy consumption; Fuel economy; Load forecasting; Macroeconomics; Mathematical model; Power generation economics; Predictive models; Testing; Yttrium; non-stationary; optimal prediction; small samples; time series;
Conference_Titel :
Software Engineering, 2009. WCSE '09. WRI World Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3570-8
DOI :
10.1109/WCSE.2009.254
