Assessment of the benefits of numerical weather predictions in wind power forecasting based on statistical methods

Maria Grazia De Giorgi, Antonio Ficarella and Marco Tarantino

Energy, 2011, vol. 36, issue 7, 3968-3978

Abstract: Several forecast systems based on Artificial Neural Networks have been developed to predict power production of a wind farm located in a complex terrain, where geographical effects make wind speed predictions difficult) in different time horizons: 1,3,6,12 and 24 h.

Keywords: Forecasting; Wind power; Artificial neural networks; Wavelet decomposition; Numerical weather predictions (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (53)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:36:y:2011:i:7:p:3968-3978

DOI: 10.1016/j.energy.2011.05.006

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