Predicting electrical power output by using Granular Computing based Neuro-Fuzzy modeling method
作者： Wenyue Sun , Jianhua Zhang , Rubin Wang
DOI: 10.1109/CCDC.2015.7162415
关键词:
摘要: The accurate prediction of electrical power output is crucial to reduce the cost for plant. Granular Computing (GrC) a new data mining method. It can combine objects which have similar characteristics form granules. In such procedure, core information be extracted while redundant and complexity target problem are both reduced. this paper, GrC used extract relational complex multidimensional set. knowledge translated into an initial fuzzy system parameters optimized by using Adaptive Neuro-Fuzzy Inference System (ANFIS) learning methods. use based modeling (GrC-NF) not only but also keep interpretability logic. Moreover, ANFIS improve performance model. Finally, model predicting built. result comparison demonstrates superiority
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