Short term load forecasting model in the power system using ensemble of predictors

被引：0
|
作者：
Siwek, Krzysztof [1 ]
Osowski, Stanislaw [1 ,2 ]
机构：
[1] Warsaw Univ Technol, Warsaw, Poland
[2] Mil Univ Technol, Warsaw, Poland
来源：
2007 IEEE INSTRUMENTATION & MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1-5 | 2007年
关键词：
load forecast; neural networks; blind source separation; ensemble of predictors;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper present the new method of accurate prognosis of the short term load pattern for 24 hours ahead. The method uses the ensemble of neural predictors combined together by applying the blind source separation approach. Thanks to this the less accurate prognoses are not rejected but used to improve the accuracy of the final forecast. The numerical results concerning the prediction of 24-hour pattern of the load in the Polish Power System have been presented and discussed in the paper.
引用
收藏
页码：512 / +
页数：2
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