The fuzzy decision tree application to a power system problem
This paper describes voltage collapse in power system networks and how it could lead to a collapse of the whole system. Discusses the effect of machine learning and artificial intelligence leading to new methods. Spotlight the fuzzy decision tree (FDT) method and its application to voltage collaps...
Saved in:
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Article |
Published: |
2023
|
Subjects: | |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.uniten.dspace-29354 |
---|---|
record_format |
dspace |
spelling |
my.uniten.dspace-293542023-12-28T11:24:50Z The fuzzy decision tree application to a power system problem Lo K.L. Abidin H.I.H.Z 7402101511 35606640500 Fuzzy logic Power transmission systems Systems theory Voltage Voltage fluctuations Algorithms Artificial intelligence Decision theory Electric breakdown Electric power systems Learning systems System theory Trees (mathematics) Fuzzy decision tree Voltage collapse Voltage fluctuations Fuzzy sets This paper describes voltage collapse in power system networks and how it could lead to a collapse of the whole system. Discusses the effect of machine learning and artificial intelligence leading to new methods. Spotlight the fuzzy decision tree (FDT) method and its application to voltage collapse assessments. Concludes that FDT can identify and group data sets giving a new understanding of its application in voltage collapse analysis. Final 2023-12-28T03:24:50Z 2023-12-28T03:24:50Z 2004 Article 10.1108/03321640410510596 2-s2.0-1942488364 https://www.scopus.com/inward/record.uri?eid=2-s2.0-1942488364&doi=10.1108%2f03321640410510596&partnerID=40&md5=298fe4daf3c18fb46493b27d8ec89a47 https://irepository.uniten.edu.my/handle/123456789/29354 23 2 436 451 Scopus |
institution |
Universiti Tenaga Nasional |
building |
UNITEN Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Tenaga Nasional |
content_source |
UNITEN Institutional Repository |
url_provider |
http://dspace.uniten.edu.my/ |
topic |
Fuzzy logic Power transmission systems Systems theory Voltage Voltage fluctuations Algorithms Artificial intelligence Decision theory Electric breakdown Electric power systems Learning systems System theory Trees (mathematics) Fuzzy decision tree Voltage collapse Voltage fluctuations Fuzzy sets |
spellingShingle |
Fuzzy logic Power transmission systems Systems theory Voltage Voltage fluctuations Algorithms Artificial intelligence Decision theory Electric breakdown Electric power systems Learning systems System theory Trees (mathematics) Fuzzy decision tree Voltage collapse Voltage fluctuations Fuzzy sets Lo K.L. Abidin H.I.H.Z The fuzzy decision tree application to a power system problem |
description |
This paper describes voltage collapse in power system networks and how it could lead to a collapse of the whole system. Discusses the effect of machine learning and artificial intelligence leading to new methods. Spotlight the fuzzy decision tree (FDT) method and its application to voltage collapse assessments. Concludes that FDT can identify and group data sets giving a new understanding of its application in voltage collapse analysis. |
author2 |
7402101511 |
author_facet |
7402101511 Lo K.L. Abidin H.I.H.Z |
format |
Article |
author |
Lo K.L. Abidin H.I.H.Z |
author_sort |
Lo K.L. |
title |
The fuzzy decision tree application to a power system problem |
title_short |
The fuzzy decision tree application to a power system problem |
title_full |
The fuzzy decision tree application to a power system problem |
title_fullStr |
The fuzzy decision tree application to a power system problem |
title_full_unstemmed |
The fuzzy decision tree application to a power system problem |
title_sort |
fuzzy decision tree application to a power system problem |
publishDate |
2023 |
_version_ |
1806426383666118656 |
score |
13.214268 |