计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (15): 193-195.DOI: 10.3778/j.issn.1002-8331.2010.15.057

• 工程与应用 • 上一篇    下一篇

电力负荷预测中的数据处理及实验研究

周 倩,韩 璞,翟永杰   

  1. 华北电力大学 控制科学与工程学院,河北 保定 071003
  • 收稿日期:2008-11-11 修回日期:2009-02-27 出版日期:2010-05-21 发布日期:2010-05-21
  • 通讯作者: 周 倩

Data processing and experimental research on load forecasting

ZHOU Qian,HAN Pu,ZHAI Yong-jie   

  1. School of Control Science and Engineering,North China Electric Power University,Baoding,Hebei 071003,China
  • Received:2008-11-11 Revised:2009-02-27 Online:2010-05-21 Published:2010-05-21
  • Contact: ZHOU Qian

摘要: 为了提高预测精度,对所得河北南网数据进行了必要的数据预处理,并且对这些数据进行分析,找出了其内在的规律。然后基于这些数据用SVM算法进行电力负荷预测,得到了比较理想的预测结果。

Abstract: In order to improve forecasting accuracy,the data of Southern Hebei Power System is pre-processed,and this paper analyzes these data to identify its internal laws,and then uses SVM algorithm for load forecasting based on these data.Through this procedure,a good result can be achieved.

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