1. Energy resources demand-supply system analysis and empirical research based on non-linear approach
- Author
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Sun, Mei, Wang, Xiaofang, Chen, Ying, and Tian, Lixin
- Subjects
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POWER resources , *SUPPLY & demand , *SYSTEM analysis , *EMPIRICAL research , *NONLINEAR theories , *ARTIFICIAL neural networks , *COMPUTER simulation - Abstract
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. [Copyright &y& Elsevier]
- Published
- 2011
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