DocumentCode :
3103748
Title :
Using Radial Basis Neural Networks to Estimate Wind Power Production
Author :
Hatziargyriou, N.D. ; Sideratos, G.N.
Author_Institution :
Senior Member, IEEE
fYear :
2007
fDate :
24-28 June 2007
Firstpage :
1
Lastpage :
2
Abstract :
This paper compares two statistical methodologies for short-term wind power forecasting in two different wind farms located on offshore area and complex terrain respectively. The methods require as input past power measurements and meteorological forecasts of wind speed and direction (Numerical Weather Predictions or NWPs) interpolated at the site of the wind farm. Both methods include NWPs estimator modeling based on fuzzy logic and wind power forecasting modeling using neural networks combination.
Keywords :
Meteorology; Neural networks; Power measurement; Predictive models; Production; Statistical analysis; Weather forecasting; Wind energy; Wind farms; Wind forecasting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location :
Tampa, FL, USA
ISSN :
1932-5517
Print_ISBN :
1-4244-1298-6
Electronic_ISBN :
1932-5517
Type :
conf
DOI :
10.1109/PES.2007.386190
Filename :
4275956
Link To Document :
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