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基于混沌时间序列的短期电力负荷预测
引用本文:李玲玲,朱博. 基于混沌时间序列的短期电力负荷预测[J]. 信息技术, 2009, 0(3)
作者姓名:李玲玲  朱博
作者单位:1. 哈尔滨理工大学电气与电子工程学院,哈尔滨,150040
2. 哈尔滨第二电业局,哈尔滨,150076
摘    要:针对电力系统负荷的复杂性及非线性,提出了结合混沌的思想,充分利用数据信息,在重构相空间的基础上对负荷进行预测.结合混沌理论,采用加权一阶局域法建立了电力负荷预测模型,并进行了实际预测,取得了满意的结果.

关 键 词:混沌时间序列  加权一阶局域法  负荷预测

Short-time power load forecast based on chaotic time series
LI Ling-ling,ZHU Bo. Short-time power load forecast based on chaotic time series[J]. Information Technology, 2009, 0(3)
Authors:LI Ling-ling  ZHU Bo
Affiliation:1.School of Electrical & Electronic Engineering;Harbin University Science;Harbin 150040;China;2.The Second Electricity Administation of Harbin;Harbin 150076;China
Abstract:According to the complexity and non-linearity of load in the power system,load prediction is conducted after reconstructing power load phase space based on chaos theory and by making full use of information of the data.A forecasting model of electrical load is proposed based on chaos theory and using adding-weight one-rank local-region method.A practical prediction is made,the result is satisfactory.
Keywords:chaotic time series  adding-weight one-rank local-region method  load forecast  
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