日负荷曲线预测是电力市场运营的基本内容。
Next-day load curve prediction is the important items of electricity market operation system.
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。
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.
通过对华东某地市电网日负荷96点曲线的预测结果显示，该方法效果较好，日预测均方根误差在1.78%以内，能较好地满足实际电力系统的负荷预测要求。
The forecasting results of a city in east China showed that, the MSE forecasting error of 96 points daily load is only about 1.78%. The method can satisfy the request of real power system well.
通过对华东某地市电网日负荷96点曲线的预测结果显示，该方法效果较好，日预测均方根误差在1.78%以内，能较好地满足实际电力系统的负荷预测要求。
The forecasting results of a city in east China showed that, the MSE forecasting error of 96 points daily load is only about 1.78%. The method can satisfy the request of real power system well.
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