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Expert Knowledge Base Development fo...

Piunno, Paolo J.

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Expert Knowledge Base Development for an Industrial Energy Assessment System.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Expert Knowledge Base Development for an Industrial Energy Assessment System./
Author:	Piunno, Paolo J.
Description:	82 p.
Notes:	Source: Masters Abstracts International, Volume: 51-04.
Contained By:	Masters Abstracts International51-04(E).
Subject:	Engineering, Industrial. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR84913
ISBN:	9780494849132

Expert Knowledge Base Development for an Industrial Energy Assessment System.
Piunno, Paolo J.

Expert Knowledge Base Development for an Industrial Energy Assessment System. - 82 p.

Source: Masters Abstracts International, Volume: 51-04.

Thesis (M.A.Sc.)--University of Windsor (Canada), 2013.

Industrial energy management is critical to achieve and monitor industrial energy efficiency. Decision support systems enable energy managers to form effective strategies to increase profitability by eliminating wasteful practices. A well formulated knowledge base is essential for a decision support system to function. Expert knowledge must be acquired and coded into a knowledge base to be accessible to a decision support system. The primary objective is to devise a methodology to extract expert knowledge acquired through field work or archived in manually generated energy analysis reports. Once the knowledge is extracted it can be codified and stored in a knowledge base that is validated to be usable by an energy management assistant decision support system. The acquisition and codification method is demonstrated by its implementation in the REACTOR energy management software system.

ISBN: 9780494849132Subjects--Topical Terms:

626639
Engineering, Industrial.

Expert Knowledge Base Development for an Industrial Energy Assessment System.
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020 $a 9780494849132
035 $a (MiAaPQ)AAIMR84913
035 $a AAIMR84913
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100 1 $a Piunno, Paolo J. $3 2100537
245 1 0 $a Expert Knowledge Base Development for an Industrial Energy Assessment System.
300 $a 82 p.
500 $a Source: Masters Abstracts International, Volume: 51-04.
500 $a Advisers: Rupp Carriveau; Phil Graniero.
502 $a Thesis (M.A.Sc.)--University of Windsor (Canada), 2013.
520 $a Industrial energy management is critical to achieve and monitor industrial energy efficiency. Decision support systems enable energy managers to form effective strategies to increase profitability by eliminating wasteful practices. A well formulated knowledge base is essential for a decision support system to function. Expert knowledge must be acquired and coded into a knowledge base to be accessible to a decision support system. The primary objective is to devise a methodology to extract expert knowledge acquired through field work or archived in manually generated energy analysis reports. Once the knowledge is extracted it can be codified and stored in a knowledge base that is validated to be usable by an energy management assistant decision support system. The acquisition and codification method is demonstrated by its implementation in the REACTOR energy management software system.
590 $a School code: 0115.
650 4 $a Engineering, Industrial. $3 626639
650 4 $a Energy. $3 876794
650 4 $a Information Technology. $3 1030799
690 $a 0546
690 $a 0791
690 $a 0489
710 2 $a University of Windsor (Canada). $b Civil Engineering. $3 2100538
773 0 $t Masters Abstracts International $g 51-04(E).
790 $a 0115
791 $a M.A.Sc.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR84913