SIA OpenIR  > 工业控制网络与系统研究室
Research on Wind Power Prediction Modeling Based on Adaptive Feature Entropy Fuzzy Clustering
Huang HX(黄海新); KONG, Chang
Department工业控制网络与系统研究室
Source Publication沈阳理工大学学报
ISSN1003-1251
2014
Volume33Issue:4Pages:75-80
Contribution Rank1
Funding OrganizationNatural Science Foundation of China under contact(61233007)
KeywordFuzzy C-means Clustering Adaptive Feature Weighted Entropy Wind Power Prediction
AbstractWind farm power prediction is proposed based on adaptive feature weight entropy fuzzy clustering algorithm.According to the fuzzy clustering method,a large number of historical data of a wind farm in Inner Mongolia are analyzed and classified.Model of adaptive entropy weight for clustering is built....
Language英语
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/17322
Collection工业控制网络与系统研究室
Corresponding AuthorHuang HX(黄海新)
Affiliation1.Shenyang Ligong University,Shenyang 110159,China
2.Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110159,China
Recommended Citation
GB/T 7714
Huang HX,KONG, Chang. Research on Wind Power Prediction Modeling Based on Adaptive Feature Entropy Fuzzy Clustering[J]. 沈阳理工大学学报,2014,33(4):75-80.
APA Huang HX,&KONG, Chang.(2014).Research on Wind Power Prediction Modeling Based on Adaptive Feature Entropy Fuzzy Clustering.沈阳理工大学学报,33(4),75-80.
MLA Huang HX,et al."Research on Wind Power Prediction Modeling Based on Adaptive Feature Entropy Fuzzy Clustering".沈阳理工大学学报 33.4(2014):75-80.
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