Wind speed and wind power forecasting system based on data decomposition and deep learning neural network [an abstract of dissertation and a summary of dissertation review]


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Zhouyi_Liu_abstract.pdf	論文内容の要旨	32.38 kB	PDF	View/Open
Zhouyi_Liu_review.pdf	審査の要旨	134.32 kB	PDF	View/Open

Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/85638

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Title:	Wind speed and wind power forecasting system based on data decomposition and deep learning neural network [an abstract of dissertation and a summary of dissertation review]
Other Titles:	データ分解と深層学習ニューラルネットワークに基づく風速・風力発電出力予測システム [論文内容及び審査の要旨]
Authors:	劉, 倬驛 Browse this author
Issue Date:	24-Mar-2022
Publisher:	Hokkaido University
Conffering University:	北海道大学
Degree Report Number:	甲第15091号
Degree Level:	博士
Degree Discipline:	情報科学
Examination Committee Members:	(主査) 准教授原亮一, 教授北裕幸, 教授五十嵐一, 教授小笠原悟司
Degree Affiliation:	情報科学研究科(システム情報科学専攻)
Rights:	https://creativecommons.org/licenses/by/4.0/
Type:	theses (doctoral - abstract and summary of review)
URI:	http://hdl.handle.net/2115/85638
Appears in Collections:	課程博士 (Doctorate by way of Advanced Course) > 情報科学院(Graduate School of Information Science and Technology) 学位論文 (Theses) > 博士　（情報科学）

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