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电力系统负荷分形预测及R/S分析

Fractal forecasting and R/S analyses of electric power consumption

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【作者】 梁平樊福梅吕玉坤

【Author】 LIANG Ping1, FAN Fu-mei1, LU Yu-kun2 (1. College of Electric Power, South China University of Technology, Guangzhou 510640, China; 2. School of Energy and Power Engineering, North China Electric Power University, Baoding 071003, China)

【机构】 华南理工大学电力学院华北电力大学能源与动力工程学院 广东广州510640广东广州510640河北保定071003

【摘要】 电力负荷具有分形市场假说(FMH)的主要特征。根据分形拼贴定理,由分形插值方法求取一个吸引子与电力负荷历史数据相近的迭代函数系统(IFS),以建立分形预测模型,实现电力负荷预测。预测结果表明,该方法不存在收敛问题,数据收集简便,具有较好的实用价值。用电力负荷时间序列 分形分析进一步表明了预测值的合理性。

【Abstract】 According to the fractal collage theorem and with the fractal interpolation, the authors presentan iteration function IFS). Its attractor is similar to the history data of electric consumptionsoasto establish fractal forecasting ( model to realize electric power consumption. It is showed in the one swatch and 4 checkpoints that the maximal relative error is 3.96% and the average relative error is 0.015%. The fractal analysis of the electric load time series further shows that the forecasting value is reasonable and the electric load in the following 20 to 30 years will maintain a sustained and stable increase.

  • 【文献出处】 华北电力大学学报 ,Journal of North China Electric Power University , 编辑部邮箱 ,2004年04期
  • 【分类号】TM715
  • 【被引频次】9
  • 【下载频次】234
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