DocumentCode
3308214
Title
State-of-the-Art Overview on Data Mining in Power Systems
Author
Mori, Hiroyuki
Author_Institution
Dept. of Electr. & Electron. Eng., Meiji Univ., Kawasaki
fYear
2006
fDate
Oct. 29 2006-Nov. 1 2006
Firstpage
33
Lastpage
34
Abstract
This paper presents an overview on applications of data mining to power systems. DM plays an important role to extract rules or knowledge through database. Power systems have complicated characteristics due to the nonlinearity. To grasp the nonlinear relationship between input and output variables, the data mining techniques help power system operators to smooth power system operation and planning. In this paper, they are overviewed from a standpoint of methodologies and applications
Keywords
data mining; database management systems; power system analysis computing; data mining; database; knowledge extraction; nonlinearity; power system operation; power system planning; rules extraction; Data engineering; Data mining; Data visualization; Databases; Decision trees; Hybrid power systems; Machine learning; Power system planning; Power systems; Statistical analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Systems Conference and Exposition, 2006. PSCE '06. 2006 IEEE PES
Conference_Location
Atlanta, GA
Print_ISBN
1-4244-0177-1
Electronic_ISBN
1-4244-0178-X
Type
conf
DOI
10.1109/PSCE.2006.296245
Filename
4075714
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