Advances in Data Mining and Applications in Power Plants

被引：0

作者：

Bao, Ang ^{[1
]}

Pan, Wei-guo ^{[1
]}

Wang, Wen-huan ^{[1
]}

机构：

[1] Shanghai Univ Elect Power, Dept Energy & Environm Engn, Shanghai 200090, Peoples R China

来源：

RENEWABLE AND SUSTAINABLE ENERGY, PTS 1-7 | 2012年 / 347-353卷

关键词：

Data Mining; Power Plants; Decision Support; Rough Sets; Association Rules;

D O I：

10.4028/www.scientific.net/AMR.347-353.487

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Describes the theory and methods of data mining technology, and the latest research progress home and abroad. In the equipment operation of various thermal power plants, more and more field data is stored in the DCS real-time database, and there is always an abundance of knowledge hidden behind the data. Adopting the date mining technology to process and analyze these data can optimize the operation of power plants and provide effective means for monitoring and evaluation of the equipment.

引用

页码：487 / 493

页数：7

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