How to reverse a prediction obtained from a seasonal difference of time series in Matlab?

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karim bio gassi
karim bio gassi 2020-6-7
编辑： karim bio gassi 2020-6-7
Hi everyone
I make a prediction using a weekly differencing data. the weekly differencing time series data has been obtained using the following lines of codes. the data is half hour data
hence 7*48=336.
D12 = LagOp({1 -1},'Lags',[0,336]);
dY = filter(D12,loadr);
After the data transformation I perform a SARMAX regression using the following lines of codes
[beta, betaci, res2] = regress(dY, Xres);
[beta, betaci, res2] = regress(dY, [Xres,lagmatrix(res2, lags)]); with Xres the seasonal AR and exogenous predictors. While res2 is the MA predictor.
Now I can simulate the model for other time period. My question is how can I transform the result gotten from the model in order to remove the lag operator D12 and get the real value.
please help me.
thanks

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