The Fuzzy Comprehensive Evaluation of Hydropower Plant Production and Operating Conditions Based on the BP Neural Network Improved

被引：2
|
作者：
Liu, Shuliang [1 ]
Song, Yunxia [1 ]
Hao, Pengliang [1 ]
机构：
[1] N China Elect Power Univ, Baoding 071003, Hebei, Peoples R China
来源：
FRONTIERS OF GREEN BUILDING, MATERIALS AND CIVIL ENGINEERING, PTS 1-8 | 2011年 / 71-78卷
关键词：
Hydropower plant; Production and operation condition; BP neural network; Fuzzy appraisal;
D O I：
10.4028/www.scientific.net/AMM.71-78.4170
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
With the rapid economic growth, the resources and environment condition gradually tightens. We need to accelerate the development of hydropower resources. The electric power produced by the hydropower plants is a kind of green power energy. The quality analysis of hydropower production operation condition will become the focus of our researching. In paper we construct a reasonable set of evaluating indicator system of hydropower production operation and have used the BP neural network and fuzzy quality synthetic to analyze the production and operation condition of several hydropower plants. Help hydropower to summarize experience.
引用
收藏
页码：4170 / 4173
页数：4
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