A COMPARISON OF PARAMETRIC AND NON-PARAMETRIC METHODS FOR RUNOFF FORECASTING

被引：46

作者：

GALEATI, G

机构：

[1] ENEL-CRIS Sarvizio Idrologico, Mestre-Venezia, 30172

来源：

HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES | 1990年 / 35卷 / 01期

关键词：

D O I：

10.1080/02626669009492406

中图分类号：

TV21 [水资源调查与水利规划];

学科分类号：

081501 ;

摘要：

The paper evaluates the performance of a non-parametric scheme, the nearest neighbour (NN) method, to predict the daily mean discharge in a mountain basin supplying a hydroelectric reservoir in northeastern Italy. The results are compared with those of an autoregressive model with exogenous input (ARX), coupled with a previously developed snow cover evolution model. Both methods give good performances, but the NN prediction requires a much simpler simulation structure. In the case investigated, for example, the snowpack accumulation-melting model can be completely eliminated. This greater simplification assumes considerable importance in the Electric Load Distribution Institutes of the Italian National Electricity Board (ENEL), where many hydroelectric basins are managed every day. © 1990 Taylor and Francis Group, LLC.

引用

页码：79 / 94

页数：16

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