Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/523
Título: A hybrid PSO-ANFIS approach for short-term wind power prediction in Portugal
Autor: Pousinho, Hugo Miguel Inácio
Mendes, Víctor Manuel Fernandes
Catalão, João Paulo da Silva
Palavras-chave: Wind power
Prediction
Swarm optimization
Neuro-fuzzy
Data: Jan-2011
Editora: PERGAMON-ELSEVIER SCIENCE LTD
Citação: Pousinho M, Mendes V, Catalão J. A hybrid PSO-ANFIS approach for short-term wind power prediction in Portugal. Energy Conversion and Management. 2011; 52(1).
Relatório da Série N.º: 1;
Resumo: The increased integration of wind power into the electric grid, as nowadays occurs in Portugal, poses new challenges due to its intermittency and volatility. Wind power prediction plays a key role in tackling these challenges. The contribution of this paper is to propose a new hybrid approach, combining particle swarm optimization and adaptive-network-based fuzzy inference system, for short-term wind power prediction in Portugal. Significant improvements regarding forecasting accuracy are attainable using the proposed approach, in comparison with the results obtained with five other approaches.
Peer review: yes
URI: http://hdl.handle.net/10400.21/523
ISSN: 0196-8904
Aparece nas colecções:ISEL - Eng. Electrotécn. - Artigos



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