symbolic dynamic models for highly varying power system loads

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if isempty(mini_d)==1 %If no word begins with the %lastdigit start
from the beginning.
mini_d=d;
mini_fr=fr;
end
mini_d; % words beginning with the last digit.
mini_fr;
% fractional occurances of the all words %beginning with
the last digit.
sumf=sum(mini_fr(:,1));
mod_fr=mini_fr/sumf;
wd=mini_d;
wf=mod_fr;
k=k+1;
end
seedword;
fwl;
result1=nonzeros(seedword(1,:));
result2=nonzeros(seedword(2:kstop,2:nw)');
result=[result1',result2']' % Forecasted signal in the form % of a
column matrix.
A.4 Forecasting a signal using Model 2, case 1 (Load Modeling)
Input to this program is historically recorded current data of
electric arc furnace. Future value of current is predicted using model
2, without updating the historical data set. The code is used for load
modeling applications. 5000 data of EAF current are stored in a data
file out of which 3000 data are used as a historical data set and 2000
data are predicted and compared with the rest of the data.