Hybrid intelligent approach for short-term wind power forecasting in Portugal
Hybrid intelligent approach for short-term wind power forecasting in Portugal
- Author(s): J.P.S. Catalão ; H.M.I. Pousinho ; V.M.F. Mendes
- DOI: 10.1049/iet-rpg.2009.0155
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- Author(s): J.P.S. Catalão 1, 2 ; H.M.I. Pousinho 1 ; V.M.F. Mendes 3
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View affiliations
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Affiliations:
1: Department of Electromechanical Engineering, University of Beira Interior, Covilha, Portugal
2: Center for Innovation in Electrical and Energy Engineering, Instituto Superior Técnico, Lisbon, Portugal
3: Department of Electrical Engineering and Automation, Instituto Superior de Engenharia de Lisboa, Lisbon, Portugal
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Affiliations:
1: Department of Electromechanical Engineering, University of Beira Interior, Covilha, Portugal
- Source:
Volume 5, Issue 3,
May 2011,
p.
251 – 257
DOI: 10.1049/iet-rpg.2009.0155 , Print ISSN 1752-1416, Online ISSN 1752-1424
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.
Inspec keywords: power grids; wavelet transforms; fuzzy logic; load forecasting; wind power; neural nets; power engineering computing
Other keywords:
Subjects: Formal logic; Power engineering computing; Integral transforms in numerical analysis; Wind power plants; Integral transforms in numerical analysis; Neural computing techniques
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