Title :
State-of-the-art overview on data mining in power systems
Author_Institution :
Dept. of Electr. & Electron. Eng., Meiji Univ., Kanagawa
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; power engineering computing; power system planning; data mining; knowledge extraction; power system operation; power system operators; power systems planning; rules extraction; Data acquisition; Data engineering; Data mining; Data visualization; Internet; Machine learning; Power system planning; Power systems; Spatial databases; Statistical analysis; artificial intelligence; clustering methods; database management; knowledge acquisition; learning systems; neural network applications;
Conference_Titel :
Power Engineering Society General Meeting, 2006. IEEE
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0493-2
DOI :
10.1109/PES.2006.1709104
