Art

J-GLOBAL ID：201702255475498954   Reference number：17A0302360

Short term forecasting of photovoltaic output power based on principal component analysis and genetic optimization of BP neural network

主成分分析と遺伝的最適化BPニューラルネットワークに基づく光起電力出力短期予測【JST・京大機械翻訳】

Author (5)： Xu Tongyu (College of Information and Electrical Engineering, Shenyang Agricultural University) ,  Ma Yiming (College of Information and Electrical Engineering, Shenyang Agricultural University) ,  Cao Yingli (College of Information and Electrical Engineering, Shenyang Agricultural University) ,  Tang Rui (College of Information and Electrical Engineering, Shenyang Agricultural University) ,  Chen Junjie (College of Information and Electrical Engineering, Shenyang Agricultural University)
Material： Dianlixitong Baohu Yu Kongzhi
Volume： 44  Issue： 22  Page： 90-95  Publication year： 2016 
JST Material Number： C2675A  ISSN： 1674-3415  Document type： Article
Article type： 原著論文  Country of issue： China (CHN)  Language： CHINESE (ZH)

Abstract/Point： In view of the fluctuation and...

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Thesaurus term： prediction technique ,  *neural network (biomodel) ,  intermittency ,  algorithm ,  *photovoltage ,  genetic algorithm ,  *Principal Component Analysis ,  prediction model ,  *short term forecast ,  *optimization ,  *electric power ,  independent variable ,  *back propagation neural network ,  *genetic optimization ,  evolutionary computation ,  model ,  *modification
Semi thesaurus term： 出力変動 , 【Automatic Indexing@JST】

Author keywords (5)： principal component analysis ,  genetic algorithm ,  power forecasting ,  BP neural network ,  photovoltaic system

JST classification (2)： Artificial intelligence  (JE08000Z) ,  Graphic and image processing in general  (JE04010I)

Terms in the title (5)： 主成分分析 ,  遺伝的最適化 ,  BPニューラルネットワーク ,  光起電力 ,  短期予測