Next-day load curve prediction is the important items of electricity market operation system.
日负荷曲线预测是电力市场运营的基本内容。
A method to use the grey prediction model and geometric regression model to predict the daily load curve of power systems during the great holiday is proposed. A relevant software is presented.
本文提出了运用灰色预测模型和几何回归模型预测重大节日期间电网日负荷曲线的方法，并编制了相应软件。
It is found, during the prediction of the last potion of load-settlement curve, that the failure patterns of piles have an essential influence on the accuracy of the prediction.
对未压坏桩后半段荷载沉降曲线进行预测时发现，桩的破坏模式对预测的效果影响较大。
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