DocumentCode :
1613688
Title :
A water flow forecasting for dam using neural networks and regression models
Author :
Egawa, T. ; Suzuki, K. ; Ichikawa, Y. ; Iizaka, T. ; Matsui, T. ; Shikagawa, Y.
Author_Institution :
Tohoku Electr. Power Co., Miyagi, China
fYear :
2011
Firstpage :
1
Lastpage :
6
Abstract :
This paper describes a water flow forecasting methods for dams using neural networks and regression models. Water flow forecasting task is very important for reliable and economic operations. Many conventional methods have been used. They take much time to develop an accurate forecasting system, because it is difficult to adjust parameters. Water flow forecasting system for dams, which have much flood data, can be developed by neural networks. On the contrary, that system for dams, which have few flood data, must be developed by regression models. The system has been used for three years at Tadami-Agano river basin to assure forecasting performance by the proposed methods.
Keywords :
dams; forecasting theory; neural nets; regression analysis; Tadami-Agano river basin; economic operations; forecasting performance; neural networks; regression models; water flow forecasting; Biological neural networks; Forecasting; Rain; Rivers; Weather forecasting; Forecasting; Hydroelectric power generation; Neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2011 IEEE
Conference_Location :
San Diego, CA
ISSN :
1944-9925
Print_ISBN :
978-1-4577-1000-1
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PES.2011.6038925
Filename :
6038925
Link To Document :
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