symbolic dynamic models for highly varying power system loads

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A.5 Forecasting a signal using Model 2, case 2 (Power conditioning)
This model is used for power conditioning application. The
historical data set, in this code, is updated each time a new current
value is predicted. Predicted current is conditioned by injecting
appropriate current as described in Figure (4.4).
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clear
% Reading the data from the file.
Points=600;
fid=fopen('h:\Ia2.dat','rt');
if(fid==(-1))
disp('Error in opening the given input data file');
end
n=1;
while n~=(Points+1)
a(n)=fscanf(fid,'%f',1);
n=n+1;
end
% Calculation of scaling function.
N=10;
minx=min(a);
maxx=max(a);
mat1=[minx 1;maxx 1];
mat2=[1.01;N+0.99];
mat3=inv(mat1)*mat2;
A=mat3(1);
B=mat3(2);
aa1=fix(A*a+B);