Energy resources demand-supply system analysis and empirical research based on non-linear approach

Mei Sun, Xiaofang Wang, Ying Chen and Lixin Tian

Energy, 2011, vol. 36, issue 9, 5460-5465

Abstract: The three-dimensional energy resources demand-supply system is established for two regions of China, in which determination of unknown parameters is significant for the real energy resources demand-supply system. In this paper, based on Shanghai’s energy statistic data (1999–2005), the parameters of the energy resources demand-supply system can be identified by using the neural network method, and an energy resources demand-supply system reflecting the real energy resources demand-supply relationship in Shanghai is obtained. The dynamical behavior of this system is also analyzed. Theoretical analysis and numerical simulation indicate that the obtained energy resources demand-supply system has the capacity of self-regulation and demonstrates a steady state. Finally, to ensure the steady development of the energy resources demand-supply system, corresponding measures are proposed.

Keywords: Three-dimensional energy resources demand-supply system; Neural network; Parameter identification; Dynamical analysis (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:36:y:2011:i:9:p:5460-5465

DOI: 10.1016/j.energy.2011.07.036

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