Load Forecasting Method with Feedback Chaos Item

摘要：

To describe the non-linear relation of load time series, a improved centroid method with non-liner feedback chaos item is presented. The method is realized by a fuzzy neural networks model which is not entirely linked. The defuzzification of the model adopts centroid method. In order to extend the scope of weight acting, the non-liner feedback item of weight value is employed to form chaos learning algorithm, which can make the system find the global minimal point or its approximation quickly and enhance the stability of the model. The simulation results show preferable forecasting capability of the model.

关键词： Load forecasting Centroid method Chaos

作者: Yang Kuihe Zhao Lingling

作者单位: College of Information, Hebei University of Science and Technology, Shijiazhuang 050054, China;Depar College of Information, Hebei University of Science and Technology, Shijiazhuang 050054, China

会议类型: 国际会议

会议名称: 2005年无线通信、网络和移动计算国际会议

会议地点: 武汉

会议语种:英文

页码: 1379-1382

在线出版日期: 2005-09-23（万方平台首次上网日期，不代表论文的发表时间）