求翻译：其中利用优化组合模型得到的24小时的预测值与实际值的均方根相对误差仅为1.85%，而利用时间序列预测法、马尔可夫预测法和灰色模型预测法得到的预测值的均方根相对误差则分别为2.50%、2.88%和3.52%，均远高于优化组合模型。是什么意思？

Which using the optimal combination of model 24 hour forecast and actual values ​​of rms relative error of only 1.85%, while using time series forecasting method, the mean square of the predictive value of the Markov prediction method and the gray model method The root relative error is 2.50%, 2.88%

Take advantage of these optimization models have been the 24 hours of the forecast values and the actual value of the root mean square now only 1.85 % for, and use of the time series forecasting, Marco, and gray model forecasts predict the value of the forecast now is the root mean square, respectiv

24 hour forecast values and the actual value root-mean-square relative error which obtains using the optimum composition model is only 1.85%, but using the time series forecast the law, Markov forecast the law and the pessimistic model forecast the law obtains then the forecast value root-mean-squar

Forecast of which models are 24-hour combination of RMS value and the actual value of the relative error of only 1.85%, the use of time series prediction method, Markov prediction method and grey model prediction method for RMS to forecast values are relative error, 2.5% and 3.52% respectively, are

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