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S. Y. Wei and J. Y. Wu, “Short-Term Bus Load Forecasting Based on Grey Model and Kalman Smoother,” Transactions of China Electrotechnical Society, Vol. 25, No. 2, 2010, pp. 158-162.

has been cited by the following article:

• TITLE: Study on the Synergetic Mechanism for the Dynamic Evaluation of Electricity Market Operational Efficiency

  AUTHORS: Chunjie Li, Li Yan, Huiru Zhao

  KEYWORDS: Electricity Market Operation, Synergetics, Synergetic Model, Order Parameter, Runge-Kutta Algorithm, Grey Relevance Method

  JOURNAL NAME: Energy and Power Engineering, Vol.3 No.3, July 29, 2011

  ABSTRACT: In Synergetics, when a complex system evolves from one sate to another, the order parameter plays a dominant role. We can analyze the complex system state by studying the dynamic of order parameter. We developed a synergetic model of electricity market operation system, and studied the dynamic process of the system with empirical example, which revealed the internal mechanism of the system evolution. In order to verify the accuracy of the synergetic model, fourth-order Runge-Kutta algorithm and grey relevance method were used. Finally, we found that the reserve rate of generation was the order parameter of the system. Then we can use the principle of Synergetics to evaluate the efficiency of electricity market operation.