期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2011
卷号：3
期号：4
页码：1727-1733
出版社：Engg Journals Publications
摘要：Cost of energy is the highest among all other components in the production of textile products. So energy efficiency analysis and control has assumed paramount importance. Boiler consumes measure chunk of fuel in any processing industry. Efficiency of any Boiler depends upon minimization of various indirect losses of the boiler so that amount of energy input in the boiler by burning the fuel can be maximum utilized for generation of steam and cost of steam can be minimized ultimately. The proposed data mining technique can prove to be a very effective tool for evaluating and maintain cluster wise boiler efficiency and indirect losses. Also it is very helpful to meet the objective of energy conservation and fuel saving by curbing the losses with the help of various check points. Cluster wise evaluation of boiler efficiency is a major highlight of data mining technique. Effective use of data mining will ear mark various areas where energy and there by precious fuel can be saved.
关键词：Data Mining; Clustering; Knowledge Discovery; Information Technology & Knowledge Management; Boiler Efficiency; Indirect losses; Steam; Software; Heat; and Costing
