Title :
Short term wind power forecasting using hybrid intelligent systems
Author :
Negnevitsky, M. ; Johnson, P. ; Santoso, S.
Author_Institution :
Univ. of Tasmania, Hobart, TAS
Abstract :
This panel paper summarizes the current trends in wind power development and describes a proposed approach for short term wind power forecasting using a hybrid intelligent system.
Keywords :
load forecasting; power engineering computing; wind power plants; hybrid intelligent systems; short term wind power forecasting; wind power development; Economic forecasting; Hybrid intelligent systems; Power generation economics; Power system planning; Power system security; Renewable energy resources; Wind energy; Wind energy generation; Wind forecasting; Wind power generation; intelligent systems; short term forecasting; wind power;
Conference_Titel :
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location :
Tampa, FL
Print_ISBN :
1-4244-1296-X
Electronic_ISBN :
1932-5517
DOI :
10.1109/PES.2007.385453
