Fuzzy Neural Network Market Clearing Power Price Forecasting Based on K-means Clustering

摘要：

　　Normalized fuzzy neural network has complex structure,long-time study and other shortcomings.For these shortcomings,this paper applies an improved fuzzy neural network to predict market clearing price.The model is simple,just by k-means clustering to determine the number of fuzzy inference layer nodes,and with strong applicability,higher prediction accuracy.

关键词： k-means clustering power Price Forecasting fuzzy neural network

作者: Xianmin Wei

作者单位: Computer and Communication Engineering School of Weifang University Weifang, China

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 2035-2039

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）