年电力负荷具有稳定增长的趋势成分和随机成分。
Annual electricity load includes some steady increase trend components and some stochastic components.
为了进一步研究这种类型的时间系列，有必要提取确定性和随机成分。
In order to study further this type of time series, it is necessary to extract deterministic and stochastic components.
文章考虑网络流量非线性的特点，通过不同的数学模型将流量时间序列分解成趋势成分、周期成分、突变成分和随机成分。
According to the character of non linear network traffic, the traffic time series is decomposed into trend component, period component, mutation component and random component.
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