DocumentCode
1174267
Title
Artificial Intelligence and Advanced Mathematical Tools for Power Quality Applications: A Survey
Author
Anis Ibrahim, W. R. ; Morcos, M. M.
Author_Institution
Kansas State University
Volume
21
Issue
11
fYear
2001
Firstpage
62
Lastpage
62
Abstract
Increasing interest in power quality has evolved in the past decade. This article surveys the literature for current applications of advanced artificial intelligence techniques in power quality. Applications of some advanced mathematical tools in general, and wavelet transform in particular, in power quality are also reviewed. An extensive collection of literature covering applications of fuzzy logic, expert systems, neural networks, and genetic algorithms in power quality is included. Literature exposing the use of wavelets in power quality analysis as well as data compression is also cited.
Keywords
Artificial intelligence; Data compression; Discrete wavelet transforms; Filters; Fuel cells; Induction motors; Power quality; Stability; Voltage fluctuations; Wavelet packets; Power quality; artificial intelligence; data compression; expert systems; fuzzy logic; genetic algorithms; neural networks; wavelets;
fLanguage
English
Journal_Title
Power Engineering Review, IEEE
Publisher
ieee
ISSN
0272-1724
Type
jour
DOI
10.1109/MPER.2001.4311181
Filename
4311181
Link To Document