4.7 Article

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

期刊

RENEWABLE ENERGY
卷 34, 期 7, 页码 1848-1854

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2008.11.014

关键词

Forecasting; Neural networks; Wind-power forecasting

资金

  1. Ministerio de Educacion y Ciencia of the Spanish Government [DP12005-07494]
  2. ERDF funds of the European Union

向作者/读者索取更多资源

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 72 h, 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. (C) 2008 Elsevier Ltd. All rights reserved.

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