Industrial energy audit using data mining model web application

被引：0
|
作者：
Maricar, Noor M. [1 ]
Jamal, Md. Noah [2 ]
机构：
[1] King Fahd Univ Petr & Minerals, Hail Commun Coll, AEE Dept, Dhahran, Saudi Arabia
[2] Kolej Univ Tekn, Fac Elect Engn, Kebangsaan, Malaysia
来源：
TENCON 2005 - 2005 IEEE REGION 10 CONFERENCE, VOLS 1-5 | 2006年
关键词：
air-conditioning; data mining; energy audit; energy conservation; energy management system; energy saving; lighting; web application;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The excessive use of energy in industrial sectors necessitates the decision maker to always question on how the energy is being used efficiently. Energy used for air-conditioning and lighting in a medium industry counts for almost 60% of the total energy used. The small percentage of energy use reduction relates to the lower product cost and higher profit margins. Therefore, it is important to the decision makers of an industry to have a proper method to audit the building plant and to come up with the practical actions needed in optimizing the use of energy, while at the same time to improve the comfort and product quality. This paper shows the data mining web application for energy audit that can be used in a typical industrial site.
引用
收藏
页码：246 / +
页数：2
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