Practical operation results show that the cluster analysis method can considerably improve the accuracy of short-term load forecasting.
实际运行结果表明：利用聚类分析法进行负荷短期预测，短期负荷预测的精度大大提高。
This paper gives a schema of the forecasting analysis of customer missing by explaining the business requirement of customer missing and the technical of data mining.
本文通过对客户流失的业务需求和数据挖掘技术的介绍，提出了一种客户流失预测分析的解决方案。
According to the analysis of the mathematical model using for load forecasting, an on-line load forecasting system is designed.
通过分析适用于负荷预测的数学方法，构成能在线实时运行的负荷预测系统。
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