Identification of Chaotic Characteristics of Rural Energy Consumption in China Based on GA and Neural Network

Abstract:

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This paper pointed out that the time series of rural energy consumption in China had a chaotic process, the maximum of range forecasting was 7.8 years, and then built a chaos-neural network forecasting model of China's rural energy consumption, the result showed that the total rural energy consumption would reach 1276.3307 million tones standard coal equivalent in 2010. Finally, some advices were proposed to the development of rural energy.

Info:

Periodical:

Advanced Materials Research (Volumes 108-111)

Edited by:

Yanwen Wu

Pages:

1278-1282

DOI:

10.4028/www.scientific.net/AMR.108-111.1278

Citation:

S. Cheng et al., "Identification of Chaotic Characteristics of Rural Energy Consumption in China Based on GA and Neural Network", Advanced Materials Research, Vols. 108-111, pp. 1278-1282, 2010

Online since:

May 2010

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Price:

$35.00

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