Title :
Data mining and analysis techniques in wind power system applications: abridged
Author :
Santoso, S. ; Negnevitsky, M. ; Hatziargyriou, N.
Author_Institution :
Texas Univ., Austin, TX
Abstract :
This panel paper summarizes wind power development in recent years challenges of wind power integration. During the panel session, data mining and analysis techniques are proposed to help solve these challenges
Keywords :
data analysis; data mining; power engineering computing; wind power plants; data analysis; data mining; wind power integration; wind power system; Data analysis; Data mining; Europe; Intelligent systems; Power generation; Scheduling; Wind energy; Wind energy generation; Wind power generation; Wind turbines; data mining; intelligent systems; wind power;
Conference_Titel :
Power Engineering Society General Meeting, 2006. IEEE
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0493-2
DOI :
10.1109/PES.2006.1709356
