I want to forecast time series model

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Jeong_evolution
Jeong_evolution 2016-7-10
编辑： Jeong_evolution 2016-7-10
Hello..
I want to forecast time series model.
First, below code is example.
In this code, How can i control ar code? & What is mean ar?
data = iddata(sin(0.1*[1:100])',[]);
plot(data)
sys = ar(data,2);
K = 100;
p = forecast(sys,data,K);
plot(data,'b',p,'r'), legend('measured','forecasted')
But I tried coding using the code above, I failed..(below code is that i tried code...)
I don't know from third sentence to fifth sentence.
data = iddata(g_Fresult_data_4{1,1}(:,3),[]) ;
plot(data) ;
sys = ar(data,2);
K = 98 ;
p = forecast(sys,data,K);
plot(data,'b',p,'r'), legend('measured','forecasted')
In below attached pictures are what I control file.
I should be the forecast for each row.
In example.xlsx First row is (Wind direction, Wind speed, Exterior Temperature, Humidity,Horizontal Insolation,...)
In example_2.xlsx is Solar Energy Output data.
I would like to forecast a value of example.xlsx and sxample_2.xlsx to the machine learning of the past data.
For example in example.xlsx (horizontal Insolation) & example_2.xlsx (Solar Energy Output)
I want to forecast data aas the relationship between two data.
Although the beginning of the article, please answer.

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