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Wind energy is considered one of the most rapidly growing sources of electricity generation all over the world. This letter presents a novel technique for wind speed forecasting and wind power prediction based on using the Grey predictor model GM(1,1). The effectiveness of the proposed predictor is revealed using simulation results
Published in:
Power Systems, IEEE Transactions on
(Volume:21
,
Issue:
3
)
Date of Publication: Aug. 2006
- Page(s):
- 1450 - 1452
- ISSN :
- 0885-8950
- INSPEC Accession Number:
- 9022549
- Digital Object Identifier :
- 10.1109/TPWRS.2006.879246
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 31 July 2006
- Issue Date :
- Aug. 2006
- Sponsored by :
- IEEE Power & Energy Society
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