An artificial neural network approach for short-term wind power forecasting in Portugal

Catalão, João Paulo da Silva; Pousinho, Hugo Miguel Inácio; Mendes, Victor

http://hdl.handle.net/10400.21/1272

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Authors

Catalão, João Paulo da Silva

Pousinho, Hugo Miguel Inácio

Mendes, Victor

Abstract(s)

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.

Keywords

Artificial neural networks Forecasting Wind power Models Prediction Speed

URI

http://hdl.handle.net/10400.21/1272

Citation

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.