Comparison of two new short-term wind-power forecasting systems

Ignacio J. Ramirez-Rosado, L. Alfredo Fernandez-Jimenez, Cláudio Monteiro, João Sousa and Ricardo Bessa

Renewable Energy, 2009, vol. 34, issue 7, 1848-1854

Abstract: This paper presents a comparison of two new advanced statistical short-term wind-power forecasting systems developed by two independent research teams. The input variables used in both systems were the same: forecasted meteorological variable values obtained from a numerical weather prediction model; and electric power-generation registers from the SCADA system of the wind farm. Both systems are described in detail and the forecasting results compared, revealing great similarities, although the proposed structures of the two systems are different. The forecast horizon for both systems is 72h, allowing the use of the forecasted values in electric market operations, as diary and intra-diary power generation bid offers, and in wind-farm maintenance planning.

Keywords: Forecasting; Neural networks; Wind-power forecasting (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (33)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:34:y:2009:i:7:p:1848-1854

DOI: 10.1016/j.renene.2008.11.014

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