The fuzzy decision tree application to a power system problem

K.L. Lo; H. Abidin

doi:10.1108/03321640410510596

The fuzzy decision tree application to a power system problem

K.L. Lo, H. Abidin

Electronic And Electrical Engineering

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	436-451
Number of pages	15
Journal	COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering
Volume	23
Issue number	2
DOIs	https://doi.org/10.1108/03321640410510596
Publication status	Published - 2004

Keywords

fuzzy logic
power transmission systems
voltage
voltage fluctuations
systems theory
power systems

Access to Document

10.1108/03321640410510596

Cite this

@article{27fc3a342202465b8d13e6778846d383,

title = "The fuzzy decision tree application to a power system problem",

abstract = "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.",

keywords = "fuzzy logic, power transmission systems, voltage, voltage fluctuations, systems theory, power systems",

author = "K.L. Lo and H. Abidin",

year = "2004",

doi = "10.1108/03321640410510596",

language = "English",

volume = "23",

pages = "436--451",

journal = "COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering",

issn = "0332-1649",

publisher = "Emerald Publishing Limited",

number = "2",

}

TY - JOUR

T1 - The fuzzy decision tree application to a power system problem

AU - Lo, K.L.

AU - Abidin, H.

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

KW - fuzzy logic

KW - power transmission systems

KW - voltage

KW - voltage fluctuations

KW - systems theory

KW - power systems

UR - http://dx.doi.org/10.1108/03321640410510596

U2 - 10.1108/03321640410510596

DO - 10.1108/03321640410510596

M3 - Article

SN - 0332-1649

VL - 23

SP - 436

EP - 451

JO - COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

JF - COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

IS - 2

ER -

The fuzzy decision tree application to a power system problem

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this