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

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 con...

Full description

Saved in:
Bibliographic Details
Published inApplied Mechanics and Materials Vol. 71-78; pp. 4170 - 4173
Main Authors Hao, Peng Liang, Song, Yun Xia, Liu, Shu Liang
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.07.2011
Subjects
BP Neural Network (BPNN)
Fuzzy Appraisal
Hydropower Plant
Production and Operation Condition
Online AccessGet full text

Cover

More Information
Summary: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.
Bibliography:Selected, peer reviewed papers from the 2011 International Conference on Green Building, Materials and Civil Engineering, (GBMCE 2011), Shangri-La, China, August 22-23, 2011
ISBN:9783037852033
3037852038
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.71-78.4170