Title :
State-of-the-Art Overview on Data Mining in Power Systems
Author_Institution :
Dept. of Electr. & Electron. Eng., Meiji Univ., Kawasaki
fDate :
Oct. 29 2006-Nov. 1 2006
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;
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
DOI :
10.1109/PSCE.2006.296245
