発電用ダム流入量の時間変化予測に用いる入力情報の検討

Material type: 文書・図像類

Author: 一柳, 勝宏ほか

Publisher: 愛知工業大学

Publication date: 2007-03-31

Material Format: Digital

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Note (General)：: We examined the number and the combination at the ground rain gauge used to forecast the amount of the flow rate into the dam for the hydro power plan...

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Material Type: 文書・図像類
Title: 発電用ダム流入量の時間変化予測に用いる入力情報の検討
Author/Editor: 一柳, 勝宏
高塚, 信行
水野, 勝教
雪田, 和人
後藤, 泰之
松村, 年郎
Author Heading: 一柳, 勝宏
高塚, 信行
水野, 勝教
雪田, 和人
後藤, 泰之
松村, 年郎
Publication, Distribution, etc.: 愛知工業大学
Publication Date: 2007-03-31
Publication Date (W3CDTF): 2007-03-31
Alternative Title: ハツデンヨウ　ダム　リュウニュウリョウ　ノ　ジカン　ヘンカ　ヨソク　ニ　モチイル　ニュウリョク　ジョウホウ　ノ　ケントウ
Examination of Input Information to Forecast Time Variation of Flow Rate into Dam for Hydro Power Plant
Periodical title: 愛知工業大学研究報告. B, 専門関係論文集 = Bulletin of Aichi Institute of Technology. Part B
No. or year of volume/issue: 42
Volume: 42
Pages: 1-6
ISSN (Periodical Title): ISSN : 0387-0812
Text Language Code: jpn
Target Audience: 一般
Note (General): We examined the number and the combination at the ground rain gauge used to forecast the amount of the flow rate into the dam for the hydro power plant. A neural network system for this purpose is developed through a case study on a dam for hydro power plant located the upper district of the Yahagi River in Central Japan. We forecast when the rain gauge in three points, five points, and seven points was used within the rain gauge in seven places set up in the basin, and compared the results.
identifier:http://repository.aitech.ac.jp/dspace/handle/11133/2089
Format (IMT): application/pdf
Source: http://repository.aitech.ac.jp/dspace/bitstream/11133/2089/1/%e7%b4%80%e8%a6%8142%e5%8f%b7B%28P1-6%29.pdf
http://repository.aitech.ac.jp/dspace/bitstream/11133/2089/1/%e7%b4%80%e8%a6%8142%e5%8f%b7B%28P1-6%29.pdf
Access Restrictions: 限定公開
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 愛知工業大学 : 愛知工業大学学術情報リポジトリ