Novel Method for Mid-Long Term Runoff Forecasting

摘要：

In order to improve water management efficiency of hydro system, a three-layer feed-forward back-propagation network based on data mining is proposed for min and long term runoff forecasting. The proposed network is trained with 52 years (1952-2003) actual data of one hydro power plant of Jiangxi province and is tested for target year (2004-2006). Finally, some actual results for mid and long term water inflow forecasting are obtained and which show the proposed method has a good precision for forecasting.

关键词： runoff forecastin data mining artificial neural networks back-propagation algorithm

作者: Huijun Xu

作者单位: Nanchang institute of technology, Nanchang, P.R-China, 330099

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 190-193

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）