It provides the veracity basis for the electric power system short-term on load estimation.
电力系统负荷预测可分为长期、中期和短期负荷预测。
However, there are two factors that will affect the estimation of the hardware requirement to support average load on the web tier.
然而，要在we b层支持平均负载，也有两个因素将影响硬件需求的评估。
It makes a comparison between the SCV and packet number prediction effect of real traffic load of NLANR and the effect on the total traffic load estimation.
通过分析数据源nlanr给出的真实网络流量数据，比较SCV和分组数的预测效果，以及对网络流量估计的影响。
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