Art

J-GLOBAL ID：201702255569691352   Reference number：17A0066094

Short-term Forecasting Method of Photovoltaic Output Power Based on PNN/ PCA/SS-SVR

PNN/PCA/SS-SVRに基づく光起電力発電電力短期予測法【JST・京大機械翻訳】

Author (6)： Wang Xin (Center of Electrical & Electronic Technology, Shanghai Jiao Tong University) ,  Huang Ke (College of Electric Power Engineering, Shanghai University of Electric Power) ,  Zheng Yihui (Center of Electrical & Electronic Technology, Shanghai Jiao Tong University) ,  Li Lixue (Center of Electrical & Electronic Technology, Shanghai Jiao Tong University) ,  Lang Yongbo (Yanbian Power Supply Company, State Grid Jilin Electric Power Supply Company) ,  Wu Hao (Yanbian Power Supply Company, State Grid Jilin Electric Power Supply Company)
Material： Dianli Xitong Zidonghua  (Automation of Electric Power Systems)
Volume： 40  Issue： 17  Page： 156-162  Publication year： 2016 
JST Material Number： C2510A  ISSN： 1000-1026  CODEN： DXZIE9  Document type： Article
Article type： 原著論文  Country of issue： China (CHN)  Language： CHINESE (ZH)

Abstract/Point： Forecasting of photovoltaic po...

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Thesaurus term： support vector machine ,  *short term forecast ,  optimization ,  solar energy ,  relative humidity ,  prediction model ,  meteorology ,  vector(mathematics) ,  weather information ,  solar photovoltaic generation ,  principal component analysis ,  *photovoltage ,  meteorological phenomenon ,  *electric power
Semi thesaurus term： *発電電力 , 【Automatic Indexing@JST】

Author keywords (5)： forecasting of photovoltaic power generation ,  probabilistic neural network (PNN) ,  principal component analysis (PCA) ,  scatter search (SS) ,  support vector regression (SVR)

JST classification (1)： Other senses  (EJ13040X)

Terms in the title (4)： PCA ,  光起電力 ,  発電電力 ,  短期予測