首页> 外文会议>International Symposium on Heat Transfer Enhancement and Energy Conservation(ISHTEEC) vol.2; 20040112-15; Guangzhou(CN) >MEDIUM LONG TERM FORECASTING ABOUT NATIONAL ELECTRIC CONSUMPTION AND IT'S CONSTITUTION OF THE WHOLE SOCIETY BASED ON THE FRACTAL
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MEDIUM LONG TERM FORECASTING ABOUT NATIONAL ELECTRIC CONSUMPTION AND IT'S CONSTITUTION OF THE WHOLE SOCIETY BASED ON THE FRACTAL

机译:基于分形的国家电力消费中长期预测及其对全社会的构成

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摘要

To make a medium long term forecasting about national electric consumption and it's constitution is a basic task in the electric system. In the last analysis it is determined by the market supply-and-demand relation, so it has the main character of fractal market hypothesis (FMH), i.e. the fractal market time sequence, the inner swatches of which have statistic character similar trend. According to the fractal collage theorem and with the fractal interpolation, we establish fractal forecasting model to forecast the medium long term electric consumption. The method has no convergence property, and collects the data conveniently. Therefore, it holds good value in practice. The whole society electric consumption constitution shows a strong persistence and correlation character. In this paper the history data of the whole society electric consumption constitutions is proposed as the fractal unit, and with the N steps iterative accumulated value to form fractal, every economic indicator shows that there exists the evident scale independent range after the year 1990. With the definition of fractal dimension, the whole society electric consumption constitution is predicted in the article. This method has no convergence property either, and it calculates fast, so it also holds good value in practice.
机译:对全国用电量及其构成进行中长期预测是电气系统的基本任务。在最后的分析中,它由市场供求关系决定,因此它具有分形市场假设(FMH)的主要特征,即分形市场时间序列,其内部样本的统计特征具有相似的趋势。根据分形拼贴定理,并通过分形插值,建立分形预测模型,对中期长期用电量进行预测。该方法没有收敛性,可以方便地收集数据。因此,在实践中具有很好的价值。整个社会的用电量构成具有很强的持久性和相关性。本文提出了以全社会用电量构成的历史数据为分形单位,并以N阶迭代累加值形成分形​​,各项经济指标表明,1990年以后存在明显的规模独立范围。分形维数的定义,预测了全社会用电量的构成。该方法也没有收敛性,计算速度快,在实践中也具有很好的应用价值。

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