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	Short-term power prediction for photovoltaic power plants using a hybrid improved Kmeans-GRA-Elman model based on multivariate meteorological factors and historical power datasets
	Lin, Peijie; Peng, Zhouning; Lai, Yunfeng; Cheng, Shuying; Chen, Zhicong; Wu, Lijun
刊名	ENERGY CONVERSION AND MANAGEMENT
	2018
卷号	177页码:704-717
关键词	Power prediction Elman neural network K-means plus Optimal similarity day Photovoltaic power generation Grey relational analysis
ISSN号	0196-8904
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2889744
专题	福州大学
推荐引用方式 GB/T 7714	Lin, Peijie,Peng, Zhouning,Lai, Yunfeng,et al. Short-term power prediction for photovoltaic power plants using a hybrid improved Kmeans-GRA-Elman model based on multivariate meteorological factors and historical power datasets[J]. ENERGY CONVERSION AND MANAGEMENT,2018,177:704-717.
APA	Lin, Peijie,Peng, Zhouning,Lai, Yunfeng,Cheng, Shuying,Chen, Zhicong,&Wu, Lijun.(2018).Short-term power prediction for photovoltaic power plants using a hybrid improved Kmeans-GRA-Elman model based on multivariate meteorological factors and historical power datasets.ENERGY CONVERSION AND MANAGEMENT,177,704-717.
MLA	Lin, Peijie,et al."Short-term power prediction for photovoltaic power plants using a hybrid improved Kmeans-GRA-Elman model based on multivariate meteorological factors and historical power datasets".ENERGY CONVERSION AND MANAGEMENT 177(2018):704-717.

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