DocumentCode :
3641669
Title :
Wind speed forecasting based on second order blind identification and autoregressive model
Author :
Umut Fırat;Şeref Naci Engin;Murat Saraçlar; Ayşın Baytan Ertüzün
Author_Institution :
Enerji Enstitü
fYear :
2011
fDate :
4/1/2011 12:00:00 AM
Firstpage :
618
Lastpage :
621
Abstract :
Wind power presents undesirable intermittencies due to the considerable variations in the wind speed which may affect adversely the smooth operation of the grid. Effective wind forecast is essential in order to report the amount of energy supply with high accuracy, which is crucial for planning energy resources for power system operators. In this paper a new statistical method is presented based on independent component analysis (ICA) and autoregressive (AR) model. ICA is utilized in order to exploit the hidden factors which may exist in the wind speed time-series. ICA methods based on exploiting the time structure like second order blind identification (SOBI) can be used as a preliminary step in wind speed forecasting.
Keywords :
"Wind power generation","Wind speed","Conferences","Signal processing","Independent component analysis","Wind forecasting","Predictive models"
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
ISSN :
2165-0608
Print_ISBN :
978-1-4577-0462-8
Type :
conf
DOI :
10.1109/SIU.2011.5929726
Filename :
5929726
Link To Document :
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