Applications of data mining for power systems

Author

Madan, S. ; Son, Won-Kuk ; Bollinger, K.E.

Author_Institution

Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, Alta., Canada

Volume

2

fYear

1997

fDate

25-28 May 1997

Firstpage

403

Abstract

Data mining is a new inter disciplinary area which has caught the interest of researchers in the field of machine learning, machine discovery, statistics, intelligent databases, engineering, knowledge acquisition, data visualization, and expert systems. Data mining focuses on the classification of new, useful and interesting relationships that may exist within the large archives of information. The discovery of relations from archived data is a potentially powerful application of machine learning algorithms. The paper describes data mining and brainstorms on its application to power systems

Keywords

deductive databases; knowledge acquisition; learning (artificial intelligence); power system CAD; archived data; brainstorms; data mining applications; data visualization; expert systems; information archives; intelligent databases; inter disciplinary area; knowledge acquisition; machine discovery; machine learning algorithms; power systems; relation discovery; statistics; Data engineering; Data mining; Data visualization; Deductive databases; Knowledge acquisition; Knowledge engineering; Machine learning; Power engineering and energy; Power systems; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 1997. Engineering Innovation: Voyage of Discovery. IEEE 1997 Canadian Conference on

Conference_Location

St. Johns, Nfld.

ISSN

0840-7789

Print_ISBN

0-7803-3716-6

Type

conf

DOI

10.1109/CCECE.1997.608243

Filename

608243