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: その他

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)：: 出版タイプ： NAWe 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 p...

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Material Type: その他
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
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
Target Audience: 一般
Note (General): 出版タイプ： NA
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
Access Restrictions: インターネット公開
Periodical Title (NCID): AA11564921
https://ci.nii.ac.jp/ncid/AA11564921
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