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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对测试数据的预测结果表明，该预测系统能够可靠工作，预测结果的均方根误差在15%左右。

The results of the test data indicate that the prediction system is reliable and the root of mean square error is about 15%.

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对测试数据的预测结果表明，该预测系统能够可靠工作，预测结果的均方根 误差在 15%左右。

The results of the test data indicate that the prediction system is reliable and the root of mean square error (RMSE) is about 15%.

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结果：所建的5个模型对验证集样品水分含量的预测值与实测值的相关系数均在0.90以上，预测误差均方根（RMSEP）均在0.05以下。

Result:The coefficients of correlation of inner cross validation and external validation are both above 0.90, and the RMSECV and RMSEP are both below 0.05.

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结果：所建的5个模型对验证集样品水分含量的预测值与实测值的相关系数均在0.90以上，预测误差均方根（RMSEP）均在0.05以下。

Result:The coefficients of correlation of inner cross validation and external validation are both above 0.90, and the RMSECV and RMSEP are both below 0.05.

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