Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/1272
Título: An artificial neural network approach for short-term wind power forecasting in Portugal
Autor: Catalão, João Paulo da Silva
Pousinho, Hugo Miguel Inácio
Mendes, Víctor Manuel Fernandes
Palavras-chave: Artificial neural networks
Forecasting
Wind power
Models
Prediction
Speed
Data: Mar-2009
Editora: C R L Publishing LTD
Citação: Catalão J P S, Pousinho H M I, Mendes V M F.An artificial neural network approach for short-term wind power forecasting in Portugal. Engineering Intelligent Systems for Electrical Engineering and Communications. 2009; 17 (1): 5-11.
Relatório da Série N.º: 1;
Resumo: This paper presents an artificial neural network approach 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. The accuracy of the wind power forecasting attained with the proposed approach is evaluated against persistence and ARIMA approaches, reporting the numerical results from a real-world case study.
Peer review: yes
URI: http://hdl.handle.net/10400.21/1272
ISSN: 1472-8915
Aparece nas colecções:ISEL - Eng. Electrotécn. - Artigos



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