類似気象データを用いたニューラルネットワークによる翌日最大電力需要予測

Material type: 文書・図像類

Author: 後藤, 泰之ほか

Publisher: 愛知工業大学

Publication date: 1998-03-31

Material Format: Digital

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Note (General)：: Demand for electric power is greatly influenced by weather conditions such as temperature and humidity, and days of the week. So the demands for elect...

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Material Type: 文書・図像類
Title: 類似気象データを用いたニューラルネットワークによる翌日最大電力需要予測
Author/Editor: 後藤, 泰之
雪田, 和人
水野, 勝教
一柳, 勝宏
角田, 典生
Author Heading: 後藤, 泰之
雪田, 和人
水野, 勝教
一柳, 勝宏
角田, 典生
Publication, Distribution, etc.: 愛知工業大学
Publication Date: 1998-03-31
Publication Date (W3CDTF): 1998-03-31
Alternative Title: ルイジキショウデータオモチイタニュ-ラルネットワークニヨルヨクジツサイダイデンリョクジュヨウヨソク
Daily Peak Load Forecasting by Artificial Neural Network with Similarity Weather Data
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: 33
Volume: 33
Pages: 1-7
ISSN (Periodical Title): ISSN : 0387-0812
Text Language Code: jpn
Target Audience: 一般
Note (General): Demand for electric power is greatly influenced by weather conditions such as temperature and humidity, and days of the week. So the demands for electric power under similar weather conditions on the same days of the week are supposed to have similarities between their numerical values. The aim of this presentation is to report the result of the experiment with a prediction of the largest demand for electric power by database making of information from SDP data, sampling the days that weather conditions are similar by Pattern Matching, and learning by Neural Networks.
identifier:http://repository.aitech.ac.jp/dspace/handle/11133/1055
Format (IMT): application/pdf
Source: http://repository.aitech.ac.jp/dspace/bitstream/11133/1055/1/%e7%b4%80%e8%a6%8133%e5%8f%b7B%28P1-7%29.pdf
http://repository.aitech.ac.jp/dspace/bitstream/11133/1055/1/%e7%b4%80%e8%a6%8133%e5%8f%b7B%28P1-7%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