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

被引:110
作者
Ramirez-Rosado, Ignacio J. [1 ]
Alfredo Fernandez-Jimenez, L. [2 ]
Monteiro, Claudio [3 ,4 ]
Sousa, Joao [3 ,4 ]
Bessa, Ricardo [3 ,4 ]
机构
[1] Univ Zaragoza, Dept Elect Engn, Zaragoza, Spain
[2] Univ La Rioja, Dept Elect Engn, Logrono, Spain
[3] Fac Engn Univ, FEUP, Oporto, Portugal
[4] INESC, Oporto, Portugal
关键词
Forecasting; Neural networks; Wind-power forecasting; SPEED PREDICTION; NEURAL-NETWORKS; OUTPUT;
D O I
10.1016/j.renene.2008.11.014
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:1848 / 1854
页数:7
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