Journal
RENEWABLE ENERGY
Volume 36, Issue 4, Pages 1245-1251Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2010.09.016
Keywords
Wind power; Forecasting; Artificial neural networks; Wavelet transform
Funding
- Fundacao para a Ciencia e a Tecnologia (FCT) [SFRH/BD/62965/2009]
- Fundação para a Ciência e a Tecnologia [SFRH/BD/62965/2009] Funding Source: FCT
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This paper proposes artificial neural networks in combination with wavelet transform for short-term wind power forecasting in Portugal. The increased integration of wind power into the electric grid, as nowadays occurs in Portugal, poses new challenges due to its intermittency and volatility. Hence, good forecasting tools play a key role in tackling these challenges. Results from a real-world case study are presented. A comparison is carried out, taking into account the results obtained with other approaches. Finally, conclusions are duly drawn. (C) 2010 Elsevier Ltd. All rights reserved.
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