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