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Hybrid intelligent approach for short-term wind power forecasting in Portugal

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3 Author(s)
J. P. S. Catalao ; Department of Electromechanical Engineering, University of Beira Interior ; H. M. I. Pousinho ; V. M. F. Mendes

The increased integration of wind power into the electric grid, as nowadays occurs in Portugal, poses new challenges because of its intermittency and volatility. Hence, good forecasting tools play a key role in tackling these challenges. In this study, a hybrid intelligent approach is proposed for short-term wind power forecasting in Portugal. The proposed approach is based on the wavelet transform and a hybrid of neural networks and fuzzy logic. Results from a real-world case study are presented. A thorough comparison is carried out, taking into account the results obtained with other approaches. Conclusions are duly drawn.

Published in:

IET Renewable Power Generation  (Volume:5 ,  Issue: 3 )