A review of using data mining techniques in power plants
Data mining techniques and their applications have developed rapidly during the last two decades. This paper reviews application of data mining techniques in power systems, specially in power plants, through a survey of literature between the year 2000 and 2015. Keyword indices, articles’ abstract...
Saved in:
Main Authors: | , |
---|---|
Format: | Article |
Published: |
Sudan University of Science and Technology
2016
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/66930/ http://scientific-journal.sustech.edu/Engineering-and-Computer-Sciences |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utm.66930 |
---|---|
record_format |
eprints |
spelling |
my.utm.669302017-11-20T08:52:06Z http://eprints.utm.my/id/eprint/66930/ A review of using data mining techniques in power plants Ahmed Eisa, Waleed Hamed Salim, Naomie QA75 Electronic computers. Computer science Data mining techniques and their applications have developed rapidly during the last two decades. This paper reviews application of data mining techniques in power systems, specially in power plants, through a survey of literature between the year 2000 and 2015. Keyword indices, articles’ abstracts and conclusions were used to classify more than 86 articles about application of data mining in power plants, from many academic journals and research centers. Because this paper concerns about application of data mining in power plants, the paper started by providing a brief introduction about data mining and power systems to give the reader better vision about these two different disciplines. This paper presents a comprehensive survey of the collected articles and classifies them according to three categories: the used techniques, the problem and the application area. From this review we found that data mining techniques (classification, regression, clustering and association rules) could be used to solve many types of problems in power plants, like predicting the amount of generated power, failure prediction, failure diagnosis, failure detection and many others. Also there is no standard technique that could be used for a specific problem. Application of data mining in power plants is a rich research area and still needs more exploration. Sudan University of Science and Technology 2016-01-10 Article PeerReviewed Ahmed Eisa, Waleed Hamed and Salim, Naomie (2016) A review of using data mining techniques in power plants. Journal of Science and Technology, 17 (3). pp. 34-51. ISSN 1605-427X http://scientific-journal.sustech.edu/Engineering-and-Computer-Sciences |
institution |
Universiti Teknologi Malaysia |
building |
UTM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Malaysia |
content_source |
UTM Institutional Repository |
url_provider |
http://eprints.utm.my/ |
topic |
QA75 Electronic computers. Computer science |
spellingShingle |
QA75 Electronic computers. Computer science Ahmed Eisa, Waleed Hamed Salim, Naomie A review of using data mining techniques in power plants |
description |
Data mining techniques and their applications have developed rapidly during the last two decades. This paper reviews application of data mining techniques in power systems, specially in power plants, through a survey of literature between the year 2000 and 2015. Keyword indices, articles’ abstracts and conclusions were used to classify more than 86 articles about application of data mining in power plants, from many academic journals and research centers. Because this paper concerns about application of data mining in power plants, the paper started by providing a brief introduction about data mining and power systems to give the reader better vision about these two different disciplines. This paper presents a comprehensive survey of the collected articles and classifies them according to three categories: the used techniques, the problem and the application area. From this review we found that data mining techniques (classification, regression, clustering and association rules) could be used to solve many types of problems in power plants, like predicting the amount of generated power, failure prediction, failure diagnosis, failure detection and many others. Also there is no standard technique that could be used for a specific problem. Application of data mining in power plants is a rich research area and still needs more exploration. |
format |
Article |
author |
Ahmed Eisa, Waleed Hamed Salim, Naomie |
author_facet |
Ahmed Eisa, Waleed Hamed Salim, Naomie |
author_sort |
Ahmed Eisa, Waleed Hamed |
title |
A review of using data mining techniques in power plants |
title_short |
A review of using data mining techniques in power plants |
title_full |
A review of using data mining techniques in power plants |
title_fullStr |
A review of using data mining techniques in power plants |
title_full_unstemmed |
A review of using data mining techniques in power plants |
title_sort |
review of using data mining techniques in power plants |
publisher |
Sudan University of Science and Technology |
publishDate |
2016 |
url |
http://eprints.utm.my/id/eprint/66930/ http://scientific-journal.sustech.edu/Engineering-and-Computer-Sciences |
_version_ |
1643655862291529728 |
score |
13.159267 |