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OpenEntrance_format.m
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OpenEntrance_format.m
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clc
clear all
addpath C:\GAMS\win64\24.4
%% export GDX file to matlab
TOTCONS_time.name='TOTCONS_time'
CONS_H_TT_time.name='CONS_H_TT_time'
CONS_G_TT_time.name='CONS_G_TT_time'
INTER_USE_TT_time.name='INTER_USE_TT_time'
INTER_USE_MM_time.name='INTER_USE_MM_time'
INTER_USE_DD_time.name='INTER_USE_DD_time'
CONS_H_M_time.name='CONS_H_M_time'
CONS_H_D_time.name='CONS_H_D_time'
CONS_G_M_time.name='CONS_G_M_time'
CONS_G_D_time.name='CONS_G_D_time'
GFCF_M_time.name='GFCF_M_time'
GFCF_D_time.name='GFCF_D_time'
P_time.name='P_time'
PK_time.name='PK_time'
PL_time.name='PL_time'
GDPCONST_time.name='GDPCONST_time'
Y_time.name='Y_time'
X_time.name='X_time'
K_time.name='K_time'
L_time.name='L_time'
TOTCONS_time=rgdx('gdx\merged_gdx\merged',TOTCONS_time)
CONS_H_TT_time=rgdx('gdx\merged_gdx\merged',CONS_H_TT_time)
CONS_G_TT_time=rgdx('gdx\merged_gdx\merged',CONS_G_TT_time)
INTER_USE_TT_time=rgdx('gdx\merged_gdx\merged',INTER_USE_TT_time)
INTER_USE_MM_time=rgdx('gdx\merged_gdx\merged',INTER_USE_MM_time)
INTER_USE_DD_time=rgdx('gdx\merged_gdx\merged',INTER_USE_DD_time)
CONS_H_M_time=rgdx('gdx\merged_gdx\merged',CONS_H_M_time)
CONS_H_D_time=rgdx('gdx\merged_gdx\merged',CONS_H_D_time)
CONS_G_M_time=rgdx('gdx\merged_gdx\merged',CONS_G_M_time)
CONS_G_D_time=rgdx('gdx\merged_gdx\merged',CONS_G_D_time)
GFCF_M_time=rgdx('gdx\merged_gdx\merged',GFCF_M_time)
GFCF_D_time=rgdx('gdx\merged_gdx\merged',GFCF_D_time)
P_time=rgdx('gdx\merged_gdx\merged',P_time)
PK_time=rgdx('gdx\merged_gdx\merged',PK_time)
PL_time=rgdx('gdx\merged_gdx\merged',PL_time)
GDPCONST_time=rgdx('gdx\merged_gdx\merged',GDPCONST_time)
X_time=rgdx('gdx\merged_gdx\merged',X_time)
Y_time=rgdx('gdx\merged_gdx\merged',Y_time)
K_time=rgdx('gdx\merged_gdx\merged',K_time)
L_time=rgdx('gdx\merged_gdx\merged',L_time)
%% Understand database
% Data can be found under X_time.val for example
% There are 5 columns to this database. The first 4 columns indicate:
% scenario
% region
% product
% year
% Value
% The last column gives the value that corresponds to this combination
% Definition of labels in database. This database is in format 'long'.
%X_time.uels{1,1}
% This has a lenght of 2542 elements
% How to find a lost element in this large set of set elements?
% x= X_time.uels{1,1}
% %Corresponding unit to this emission type
% xxx=find(ismember(x,'02_test_H2'));
% X_time.uels{1,1}{1,2446}
% X_time.uels{1,1}{1,2447}
% X_time.uels{1,1}{1,1}
%% Database is not yet ready for industry iH2
% So take this industry out.
%% X_time
"X_time"
tic
for j=1:size(X_time.val,2)-1
for i=1:size(X_time.val,1)
set_idx=X_time.val(i,j);
stringtable(i,j)=string(X_time.uels{1,1}{1,set_idx});
end
end
toc
X_time_OE(1:size(X_time.val,1),1) = ["EXIOMOD 2.0" ];
X_time_OE(:,2)=stringtable(:,1);
X_time_OE(:,3)=stringtable(:,2);
X_time_OE(:,4)=strcat("Output|Product|",stringtable(:,3));
X_time_OE(:,5)="million EUR/yr";
X_time_OE(:,6)=stringtable(:,4);
X_time_OE(:,7)=X_time.val(:,5);
X_time_OE_table = array2table(X_time_OE,...
'VariableNames',{'Model','Scenario','Region','Variable','Unit','Year','Value'});
X_time_OE_table.Value=str2double(X_time_OE_table.Value);
X_time_OE_table_unstack = unstack(X_time_OE_table,'Value','Year');
%% Y_time
"Y_time"
%%%%%%%%%%% TAKE OUT iH2 for now!!
idx_iH2=find(Y_time.uels{1,1}=="iH2");
Y_time.val(Y_time.val(:,3)==idx_iH2,:)=[];
%%%%%%%%%%%
clear stringtable
tic
for j=1:size(Y_time.val,2)-1
for i=1:size(Y_time.val,1)
set_idx=Y_time.val(i,j);
stringtable(i,j)=string(Y_time.uels{1,1}{1,set_idx});
end
end
toc
Y_time_OE(1:size(Y_time.val,1),1) = ["EXIOMOD 2.0" ];
Y_time_OE(:,2)=stringtable(:,1);
Y_time_OE(:,3)=stringtable(:,2);
Y_time_OE(:,4)=strcat("Output|Industry|",stringtable(:,3));
Y_time_OE(:,5)="million EUR/yr";
Y_time_OE(:,6)=stringtable(:,4);
Y_time_OE(:,7)=Y_time.val(:,5);
Y_time_OE_table = array2table(Y_time_OE,...
'VariableNames',{'Model','Scenario','Region','Variable','Unit','Year','Value'});
Y_time_OE_table.Value=str2double(Y_time_OE_table.Value);
Y_time_OE_table_unstack = unstack(Y_time_OE_table,'Value','Year');
%% K_time
"K_time"
%%%%%%%%%%% TAKE OUT iH2 for now!!
idx_iH2=find(K_time.uels{1,1}=="iH2");
K_time.val(K_time.val(:,4)==idx_iH2,:)=[];
%%%%%%%%%%%
clear stringtable
tic
for j=1:size(K_time.val,2)-1
for i=1:size(K_time.val,1)
set_idx=K_time.val(i,j);
stringtable(i,j)=string(K_time.uels{1,1}{1,set_idx});
end
end
toc
K_time_OE(1:size(K_time.val,1),1) = ["EXIOMOD 2.0" ]; % Model
K_time_OE(:,2)=stringtable(:,1); % Scenario
K_time_OE(:,3)=stringtable(:,2); % Region
K_time_OE(:,4)=strcat("Capital|",stringtable(:,4)); % Variable
K_time_OE(:,5)="million EUR/yr"; % Unit
K_time_OE(:,6)=stringtable(:,5); % Year
K_time_OE(:,7)=K_time.val(:,6); % Value
K_time_OE_table = array2table(K_time_OE,...
'VariableNames',{'Model','Scenario','Region','Variable','Unit','Year','Value'});
K_time_OE_table.Value=str2double(K_time_OE_table.Value);
K_time_OE_table_unstack = unstack(K_time_OE_table,'Value','Year');
%% PK_time
"PK_time"
clear stringtable
tic
for j=1:size(PK_time.val,2)-1
for i=1:size(PK_time.val,1)
set_idx=PK_time.val(i,j);
stringtable(i,j)=string(PK_time.uels{1,1}{1,set_idx});
end
end
toc
PK_time_OE(1:size(PK_time.val,1),1) = ["EXIOMOD 2.0" ];
PK_time_OE(:,2)=stringtable(:,1);
PK_time_OE(:,3)=stringtable(:,2);
PK_time_OE(:,4)="Capital Price Index"; % Note mistake with nomenclature
PK_time_OE(:,5)="-";
PK_time_OE(:,6)=stringtable(:,3);
PK_time_OE(:,7)=PK_time.val(:,4);
PK_time_OE_table = array2table(PK_time_OE,...
'VariableNames',{'Model','Scenario','Region','Variable','Unit','Year','Value'});
PK_time_OE_table.Value=str2double(PK_time_OE_table.Value);
PK_time_OE_table_unstack = unstack(PK_time_OE_table,'Value','Year');
%% L_time
"L_time"
clear stringtable
tic
for j=1:size(L_time.val,2)-1
for i=1:size(L_time.val,1)
set_idx=L_time.val(i,j);
stringtable(i,j)=string(L_time.uels{1,1}{1,set_idx});
end
end
toc
L_time_OE(1:size(L_time.val,1),1) = ["EXIOMOD 2.0" ]; % Model
L_time_OE(:,2)=stringtable(:,1); % Scenario
L_time_OE(:,3)=stringtable(:,2); % Region
L_time_OE(:,4)=strcat("Labor|",stringtable(:,4)); % Variable
L_time_OE(:,5)="million EUR/yr"; % Unit
L_time_OE(:,6)=stringtable(:,5); % Year
L_time_OE(:,7)=L_time.val(:,6); % Value
L_time_OE_table = array2table(L_time_OE,...
'VariableNames',{'Model','Scenario','Region','Variable','Unit','Year','Value'});
L_time_OE_table.Value=str2double(L_time_OE_table.Value);
L_time_OE_table_unstack = unstack(L_time_OE_table,'Value','Year');
%% PL_time
"PL_time"
clear stringtable
tic
for j=1:size(PL_time.val,2)-1
for i=1:size(PL_time.val,1)
set_idx=PL_time.val(i,j);
stringtable(i,j)=string(PL_time.uels{1,1}{1,set_idx});
end
end
toc
PL_time_OE(1:size(PL_time.val,1),1) = ["EXIOMOD 2.0" ];
PL_time_OE(:,2)=stringtable(:,1);
PL_time_OE(:,3)=stringtable(:,2);
PL_time_OE(:,4)="Labor Price Index"; % Note mistake with nomenclature
PL_time_OE(:,5)="-";
PL_time_OE(:,6)=stringtable(:,3);
PL_time_OE(:,7)=PL_time.val(:,4);
PL_time_OE_table = array2table(PL_time_OE,...
'VariableNames',{'Model','Scenario','Region','Variable','Unit','Year','Value'});
PL_time_OE_table.Value=str2double(PL_time_OE_table.Value);
PL_time_OE_table_unstack = unstack(PL_time_OE_table,'Value','Year');
%% P_time
"P_time"
clear stringtable
tic
for j=1:size(P_time.val,2)-1
for i=1:size(P_time.val,1)
set_idx=P_time.val(i,j);
stringtable(i,j)=string(P_time.uels{1,1}{1,set_idx});
end
end
toc
P_time_OE(1:size(P_time.val,1),1) = ["EXIOMOD 2.0" ];
P_time_OE(:,2)=stringtable(:,1);
P_time_OE(:,3)=stringtable(:,2);
P_time_OE(:,4)=strcat("Product Price Index|",stringtable(:,3)); % Note mistake with nomenclature
P_time_OE(:,5)="-";
P_time_OE(:,6)=stringtable(:,4);
P_time_OE(:,7)=P_time.val(:,5);
P_time_OE_table = array2table(P_time_OE,...
'VariableNames',{'Model','Scenario','Region','Variable','Unit','Year','Value'});
P_time_OE_table.Value=str2double(P_time_OE_table.Value);
P_time_OE_table_unstack = unstack(P_time_OE_table,'Value','Year');
%% GDPCONST_time
"GDPCONST_time"
clear stringtable
tic
for j=1:size(GDPCONST_time.val,2)-1
for i=1:size(GDPCONST_time.val,1)
set_idx=GDPCONST_time.val(i,j);
stringtable(i,j)=string(GDPCONST_time.uels{1,1}{1,set_idx});
end
end
toc
GDPCONST_time_OE(1:size(GDPCONST_time.val,1),1) = ["EXIOMOD 2.0" ];
GDPCONST_time_OE(:,2)=stringtable(:,1);
GDPCONST_time_OE(:,3)=stringtable(:,2);
GDPCONST_time_OE(:,4)="GDP|MER"; % Note mistake with nomenclature
GDPCONST_time_OE(:,5)="million EUR/yr";
GDPCONST_time_OE(:,6)=stringtable(:,3);
GDPCONST_time_OE(:,7)=GDPCONST_time.val(:,4);
GDPCONST_time_OE_table = array2table(GDPCONST_time_OE,...
'VariableNames',{'Model','Scenario','Region','Variable','Unit','Year','Value'});
GDPCONST_time_OE_table.Value=str2double(GDPCONST_time_OE_table.Value);
GDPCONST_time_OE_table_unstack = unstack(GDPCONST_time_OE_table,'Value','Year');
%% CONS_H_M_time
"CONS_H_M_time"
clear stringtable
tic
for j=1:size(CONS_H_M_time.val,2)-1
for i=1:size(CONS_H_M_time.val,1)
set_idx=CONS_H_M_time.val(i,j);
stringtable(i,j)=string(CONS_H_M_time.uels{1,1}{1,set_idx});
end
end
toc
CONS_H_M_time_OE(1:size(CONS_H_M_time.val,1),1) = ["EXIOMOD 2.0" ];
CONS_H_M_time_OE(:,2)=stringtable(:,1);
CONS_H_M_time_OE(:,3)=stringtable(:,3);
CONS_H_M_time_OE(:,4)=strcat("Consumption|Households|",stringtable(:,2),"|Imported");
CONS_H_M_time_OE(:,5)="million EUR/yr";
CONS_H_M_time_OE(:,6)=stringtable(:,4);
CONS_H_M_time_OE(:,7)=CONS_H_M_time.val(:,5);
CONS_H_M_time_OE_table = array2table(CONS_H_M_time_OE,...
'VariableNames',{'Model','Scenario','Region','Variable','Unit','Year','Value'});
CONS_H_M_time_OE_table.Value=str2double(CONS_H_M_time_OE_table.Value);
CONS_H_M_time_OE_table_unstack = unstack(CONS_H_M_time_OE_table,'Value','Year');
%% CONS_H_D_time
"CONS_H_D_time"
clear stringtable
tic
for j=1:size(CONS_H_D_time.val,2)-1
for i=1:size(CONS_H_D_time.val,1)
set_idx=CONS_H_D_time.val(i,j);
stringtable(i,j)=string(CONS_H_D_time.uels{1,1}{1,set_idx});
end
end
toc
CONS_H_D_time_OE(1:size(CONS_H_D_time.val,1),1) = ["EXIOMOD 2.0" ];
CONS_H_D_time_OE(:,2)=stringtable(:,1);
CONS_H_D_time_OE(:,3)=stringtable(:,3);
CONS_H_D_time_OE(:,4)=strcat("Consumption|Households|",stringtable(:,2),"|Domestic");
CONS_H_D_time_OE(:,5)="million EUR/yr";
CONS_H_D_time_OE(:,6)=stringtable(:,4);
CONS_H_D_time_OE(:,7)=CONS_H_D_time.val(:,5);
CONS_H_D_time_OE_table = array2table(CONS_H_D_time_OE,...
'VariableNames',{'Model','Scenario','Region','Variable','Unit','Year','Value'});
CONS_H_D_time_OE_table.Value=str2double(CONS_H_D_time_OE_table.Value);
CONS_H_D_time_OE_table_unstack = unstack(CONS_H_D_time_OE_table,'Value','Year');
%% CONS_G_M_time
"CONS_G_M_time"
clear stringtable
tic
for j=1:size(CONS_G_M_time.val,2)-1
for i=1:size(CONS_G_M_time.val,1)
set_idx=CONS_G_M_time.val(i,j);
stringtable(i,j)=string(CONS_G_M_time.uels{1,1}{1,set_idx});
end
end
toc
CONS_G_M_time_OE(1:size(CONS_G_M_time.val,1),1) = ["EXIOMOD 2.0" ];
CONS_G_M_time_OE(:,2)=stringtable(:,1);
CONS_G_M_time_OE(:,3)=stringtable(:,3);
CONS_G_M_time_OE(:,4)=strcat("Consumption|Government|",stringtable(:,2),"|Imported");
CONS_G_M_time_OE(:,5)="million EUR/yr";
CONS_G_M_time_OE(:,6)=stringtable(:,4);
CONS_G_M_time_OE(:,7)=CONS_G_M_time.val(:,5);
CONS_G_M_time_OE_table = array2table(CONS_G_M_time_OE,...
'VariableNames',{'Model','Scenario','Region','Variable','Unit','Year','Value'});
CONS_G_M_time_OE_table.Value=str2double(CONS_G_M_time_OE_table.Value);
CONS_G_M_time_OE_table_unstack = unstack(CONS_G_M_time_OE_table,'Value','Year');
%% CONS_G_D_time
"CONS_G_D_time"
clear stringtable
tic
for j=1:size(CONS_G_D_time.val,2)-1
for i=1:size(CONS_G_D_time.val,1)
set_idx=CONS_G_D_time.val(i,j);
stringtable(i,j)=string(CONS_G_D_time.uels{1,1}{1,set_idx});
end
end
toc
CONS_G_D_time_OE(1:size(CONS_G_D_time.val,1),1) = ["EXIOMOD 2.0" ];
CONS_G_D_time_OE(:,2)=stringtable(:,1);
CONS_G_D_time_OE(:,3)=stringtable(:,3);
CONS_G_D_time_OE(:,4)=strcat("Consumption|Government|",stringtable(:,2),"|Domestic");
CONS_G_D_time_OE(:,5)="million EUR/yr";
CONS_G_D_time_OE(:,6)=stringtable(:,4);
CONS_G_D_time_OE(:,7)=CONS_G_D_time.val(:,5);
CONS_G_D_time_OE_table = array2table(CONS_G_D_time_OE,...
'VariableNames',{'Model','Scenario','Region','Variable','Unit','Year','Value'});
CONS_G_D_time_OE_table.Value=str2double(CONS_G_D_time_OE_table.Value);
CONS_G_D_time_OE_table_unstack = unstack(CONS_G_D_time_OE_table,'Value','Year');
%% GFCF_M_time
"GFCF_M_time"
clear stringtable
tic
for j=1:size(GFCF_M_time.val,2)-1
for i=1:size(GFCF_M_time.val,1)
set_idx=GFCF_M_time.val(i,j);
stringtable(i,j)=string(GFCF_M_time.uels{1,1}{1,set_idx});
end
end
toc
GFCF_M_time_OE(1:size(GFCF_M_time.val,1),1) = ["EXIOMOD 2.0" ];
GFCF_M_time_OE(:,2)=stringtable(:,1);
GFCF_M_time_OE(:,3)=stringtable(:,3);
GFCF_M_time_OE(:,4)=strcat("Consumption|Gross Capital Formation|",stringtable(:,2),"|Imported");
GFCF_M_time_OE(:,5)="million EUR/yr";
GFCF_M_time_OE(:,6)=stringtable(:,4);
GFCF_M_time_OE(:,7)=GFCF_M_time.val(:,5);
GFCF_M_time_OE_table = array2table(GFCF_M_time_OE,...
'VariableNames',{'Model','Scenario','Region','Variable','Unit','Year','Value'});
GFCF_M_time_OE_table.Value=str2double(GFCF_M_time_OE_table.Value);
GFCF_M_time_OE_table_unstack = unstack(GFCF_M_time_OE_table,'Value','Year');
%% GFCF_D_time
"GFCF_D_time"
clear stringtable
tic
for j=1:size(GFCF_D_time.val,2)-1
for i=1:size(GFCF_D_time.val,1)
set_idx=GFCF_D_time.val(i,j);
stringtable(i,j)=string(GFCF_D_time.uels{1,1}{1,set_idx});
end
end
toc
GFCF_D_time_OE(1:size(GFCF_D_time.val,1),1) = ["EXIOMOD 2.0" ];
GFCF_D_time_OE(:,2)=stringtable(:,1);
GFCF_D_time_OE(:,3)=stringtable(:,3);
GFCF_D_time_OE(:,4)=strcat("Consumption|Gross Capital Formation|",stringtable(:,2),"|Domestic");
GFCF_D_time_OE(:,5)="million EUR/yr";
GFCF_D_time_OE(:,6)=stringtable(:,4);
GFCF_D_time_OE(:,7)=GFCF_D_time.val(:,5);
GFCF_D_time_OE_table = array2table(GFCF_D_time_OE,...
'VariableNames',{'Model','Scenario','Region','Variable','Unit','Year','Value'});
GFCF_D_time_OE_table.Value=str2double(GFCF_D_time_OE_table.Value);
GFCF_D_time_OE_table_unstack = unstack(GFCF_D_time_OE_table,'Value','Year');
%% TOTCONS_time.name='TOTCONS_time'
"TOTCONS_time"
clear stringtable
tic
for j=1:size(TOTCONS_time.val,2)-1
for i=1:size(TOTCONS_time.val,1)
set_idx=TOTCONS_time.val(i,j);
stringtable(i,j)=string(TOTCONS_time.uels{1,1}{1,set_idx});
end
end
toc
TOTCONS_time_OE(1:size(TOTCONS_time.val,1),1) = ["EXIOMOD 2.0" ];
TOTCONS_time_OE(:,2)=stringtable(:,1);
TOTCONS_time_OE(:,3)=stringtable(:,2);
TOTCONS_time_OE(:,4)=strcat("Consumption");
TOTCONS_time_OE(:,5)="million EUR/yr";
TOTCONS_time_OE(:,6)=stringtable(:,3);
TOTCONS_time_OE(:,7)=TOTCONS_time.val(:,4);
TOTCONS_time_OE_table = array2table(TOTCONS_time_OE,...
'VariableNames',{'Model','Scenario','Region','Variable','Unit','Year','Value'});
TOTCONS_time_OE_table.Value=str2double(TOTCONS_time_OE_table.Value);
TOTCONS_time_OE_table_unstack = unstack(TOTCONS_time_OE_table,'Value','Year');
%% CONS_H_TT_time.name='CONS_H_TT_time'
"CONS_H_TT_time"
clear stringtable
tic
for j=1:size(CONS_H_TT_time.val,2)-1
for i=1:size(CONS_H_TT_time.val,1)
set_idx=CONS_H_TT_time.val(i,j);
stringtable(i,j)=string(CONS_H_TT_time.uels{1,1}{1,set_idx});
end
end
toc
CONS_H_TT_time_OE(1:size(CONS_H_TT_time.val,1),1) = ["EXIOMOD 2.0" ];
CONS_H_TT_time_OE(:,2)=stringtable(:,1);
CONS_H_TT_time_OE(:,3)=stringtable(:,2);
CONS_H_TT_time_OE(:,4)=strcat("Consumption|Households");
CONS_H_TT_time_OE(:,5)="million EUR/yr";
CONS_H_TT_time_OE(:,6)=stringtable(:,3);
CONS_H_TT_time_OE(:,7)=CONS_H_TT_time.val(:,4);
CONS_H_TT_time_OE_table = array2table(CONS_H_TT_time_OE,...
'VariableNames',{'Model','Scenario','Region','Variable','Unit','Year','Value'});
CONS_H_TT_time_OE_table.Value=str2double(CONS_H_TT_time_OE_table.Value);
CONS_H_TT_time_OE_table_unstack = unstack(CONS_H_TT_time_OE_table,'Value','Year');
%% CONS_G_TT_time.name='CONS_G_TT_time'
"CONS_G_TT_time"
clear stringtable
tic
for j=1:size(CONS_G_TT_time.val,2)-1
for i=1:size(CONS_G_TT_time.val,1)
set_idx=CONS_G_TT_time.val(i,j);
stringtable(i,j)=string(CONS_G_TT_time.uels{1,1}{1,set_idx});
end
end
toc
CONS_G_TT_time_OE(1:size(CONS_G_TT_time.val,1),1) = ["EXIOMOD 2.0" ];
CONS_G_TT_time_OE(:,2)=stringtable(:,1);
CONS_G_TT_time_OE(:,3)=stringtable(:,2);
CONS_G_TT_time_OE(:,4)=strcat("Consumption|Government");
CONS_G_TT_time_OE(:,5)="million EUR/yr";
CONS_G_TT_time_OE(:,6)=stringtable(:,3);
CONS_G_TT_time_OE(:,7)=CONS_G_TT_time.val(:,4);
CONS_G_TT_time_OE_table = array2table(CONS_G_TT_time_OE,...
'VariableNames',{'Model','Scenario','Region','Variable','Unit','Year','Value'});
CONS_G_TT_time_OE_table.Value=str2double(CONS_G_TT_time_OE_table.Value);
CONS_G_TT_time_OE_table_unstack = unstack(CONS_G_TT_time_OE_table,'Value','Year');
%% INTER_USE_TT_time.name='INTER_USE_TT_time'
"INTER_USE_TT_time"
clear stringtable
tic
for j=1:size(INTER_USE_TT_time.val,2)-1
for i=1:size(INTER_USE_TT_time.val,1)
set_idx=INTER_USE_TT_time.val(i,j);
stringtable(i,j)=string(INTER_USE_TT_time.uels{1,1}{1,set_idx});
end
end
toc
INTER_USE_TT_time_OE(1:size(INTER_USE_TT_time.val,1),1) = ["EXIOMOD 2.0" ];
INTER_USE_TT_time_OE(:,2)=stringtable(:,1);
INTER_USE_TT_time_OE(:,3)=stringtable(:,2);
INTER_USE_TT_time_OE(:,4)=strcat("Consumption|Industry");
INTER_USE_TT_time_OE(:,5)="million EUR/yr";
INTER_USE_TT_time_OE(:,6)=stringtable(:,3);
INTER_USE_TT_time_OE(:,7)=INTER_USE_TT_time.val(:,4);
INTER_USE_TT_time_OE_table = array2table(INTER_USE_TT_time_OE,...
'VariableNames',{'Model','Scenario','Region','Variable','Unit','Year','Value'});
INTER_USE_TT_time_OE_table.Value=str2double(INTER_USE_TT_time_OE_table.Value);
INTER_USE_TT_time_OE_table_unstack = unstack(INTER_USE_TT_time_OE_table,'Value','Year');
%% INTER_USE_MM_time.name='INTER_USE_MM_time'
"INTER_USE_MM_time"
clear stringtable
tic
for j=1:size(INTER_USE_MM_time.val,2)-1
for i=1:size(INTER_USE_MM_time.val,1)
set_idx=INTER_USE_MM_time.val(i,j);
stringtable(i,j)=string(INTER_USE_MM_time.uels{1,1}{1,set_idx});
end
end
toc
INTER_USE_MM_time_OE(1:size(INTER_USE_MM_time.val,1),1) = ["EXIOMOD 2.0" ];
INTER_USE_MM_time_OE(:,2)=stringtable(:,1);
INTER_USE_MM_time_OE(:,3)=stringtable(:,3);
INTER_USE_MM_time_OE(:,4)=strcat("Consumption|Industry|",stringtable(:,2),"|Imported");
INTER_USE_MM_time_OE(:,5)="million EUR/yr";
INTER_USE_MM_time_OE(:,6)=stringtable(:,4);
INTER_USE_MM_time_OE(:,7)=INTER_USE_MM_time.val(:,5);
INTER_USE_MM_time_OE_table = array2table(INTER_USE_MM_time_OE,...
'VariableNames',{'Model','Scenario','Region','Variable','Unit','Year','Value'});
INTER_USE_MM_time_OE_table.Value=str2double(INTER_USE_MM_time_OE_table.Value);
INTER_USE_MM_time_OE_table_unstack = unstack(INTER_USE_MM_time_OE_table,'Value','Year');
%% INTER_USE_DD_time.name='INTER_USE_DD_time'
"INTER_USE_DD_time"
clear stringtable
tic
for j=1:size(INTER_USE_DD_time.val,2)-1
for i=1:size(INTER_USE_DD_time.val,1)
set_idx=INTER_USE_DD_time.val(i,j);
stringtable(i,j)=string(INTER_USE_DD_time.uels{1,1}{1,set_idx});
end
end
toc
INTER_USE_DD_time_OE(1:size(INTER_USE_DD_time.val,1),1) = ["EXIOMOD 2.0" ];
INTER_USE_DD_time_OE(:,2)=stringtable(:,1);
INTER_USE_DD_time_OE(:,3)=stringtable(:,3);
INTER_USE_DD_time_OE(:,4)=strcat("Consumption|Industry|",stringtable(:,2),"|Domestic");
INTER_USE_DD_time_OE(:,5)="million EUR/yr";
INTER_USE_DD_time_OE(:,6)=stringtable(:,4);
INTER_USE_DD_time_OE(:,7)=INTER_USE_DD_time.val(:,5);
INTER_USE_DD_time_OE_table = array2table(INTER_USE_DD_time_OE,...
'VariableNames',{'Model','Scenario','Region','Variable','Unit','Year','Value'});
INTER_USE_DD_time_OE_table.Value=str2double(INTER_USE_DD_time_OE_table.Value);
INTER_USE_DD_time_OE_table_unstack = unstack(INTER_USE_DD_time_OE_table,'Value','Year');
%% Place all tables together
OE_table = ...
vertcat(P_time_OE_table_unstack,...
X_time_OE_table_unstack,...
Y_time_OE_table_unstack,...
GDPCONST_time_OE_table_unstack,...
K_time_OE_table_unstack,...
L_time_OE_table_unstack,...
PK_time_OE_table_unstack,...
PL_time_OE_table_unstack,...
CONS_G_D_time_OE_table_unstack,...
CONS_G_M_time_OE_table_unstack,...
CONS_H_D_time_OE_table_unstack,...
CONS_H_M_time_OE_table_unstack,...
GFCF_D_time_OE_table_unstack,...
GFCF_M_time_OE_table_unstack,...
TOTCONS_time_OE_table_unstack,...
CONS_H_TT_time_OE_table_unstack,...
CONS_G_TT_time_OE_table_unstack,...
INTER_USE_TT_time_OE_table_unstack,...
INTER_USE_MM_time_OE_table_unstack,...
INTER_USE_DD_time_OE_table_unstack );
%% Make connection to regions as defined by Platform
Country_def=["AUT" "Austria";...
"BEL" "Belgium";...
"BGR" "Bulgaria";...
"HRV" "Croatia";...
"CZE" "Czech Republic";...
"CYP" "Cyprus";...
"DNK" "Denmark";...
"EST" "Estonia";...
"FIN" "Finland";...
"FRA" "France";...
"GRC" "Greece";...
"HUN" "Hungary";...
"ITA" "Italy";...
"LVA" "Latvia";...
"LTU" "Lithuania";...
"LUX" "Luxembourg";...
"MLT" "Malta";...
"NLD" "The Netherlands";...
"POL" "Poland";...
"PRT" "Portugal";...
"ROU" "Romania";...
"SVK" "Slovakia";...
"SVN" "Slovenia";...
"ESP" "Spain";...
"SWE" "Sweden";...
"GBR" "United Kingdom";...
%"RWO" "Rest of World O";...
%"RWN" "Rest of World N";...
"DEU" "Germany";...
"IRL" "Ireland"];
xxx=find(ismember(OE_table.Region,"RWO"));
OE_table(xxx,:)=[];
xxx=find(ismember(OE_table.Region,"RWN"));
OE_table(xxx,:)=[];
for i=1:size(Country_def,1)
xxx=find(ismember(OE_table.Region,Country_def(i,1)));
OE_table.Region(xxx)=Country_def(i,2);
end
%% Create metadata
meta_table=table(unique(OE_table.Scenario))
meta_table.Properties.VariableNames{'Var1'} = 'scenario';
meta_table.model(:)="EXIOMOD 2.0";
meta_table.exclude(:)="FALSE";
meta_table = meta_table(:,{'model' 'scenario' 'exclude'});
%% Write data to excel
% writetable(P_time_OE_table_unstack,'project_open_entrance\03_simulation_results\Output\Result_matlab.xlsx','Sheet','P_time')
% writetable(X_time_OE_table_unstack,'project_open_entrance\03_simulation_results\Output\Result_matlab.xlsx','Sheet','X_time')
% writetable(Y_time_OE_table_unstack,'project_open_entrance\03_simulation_results\Output\Result_matlab.xlsx','Sheet','Y_time')
% writetable(GDPCONST_time_OE_table_unstack,'project_open_entrance\03_simulation_results\Output\Result_matlab.xlsx','Sheet','GDPCONST_time')
%
% writetable(K_time_OE_table_unstack,'project_open_entrance\03_simulation_results\Output\Result_matlab.xlsx','Sheet','K_time')
% writetable(L_time_OE_table_unstack,'project_open_entrance\03_simulation_results\Output\Result_matlab.xlsx','Sheet','L_time')
% writetable(PK_time_OE_table_unstack,'project_open_entrance\03_simulation_results\Output\Result_matlab.xlsx','Sheet','PK_time')
% writetable(PL_time_OE_table_unstack,'project_open_entrance\03_simulation_results\Output\Result_matlab.xlsx','Sheet','PL_time')
%
% writetable(CONS_G_D_time_OE_table_unstack,'project_open_entrance\03_simulation_results\Output\Result_matlab.xlsx','Sheet','CONS_G_D_time')
% writetable(CONS_G_M_time_OE_table_unstack,'project_open_entrance\03_simulation_results\Output\Result_matlab.xlsx','Sheet','CONS_G_M_time')
% writetable(CONS_H_D_time_OE_table_unstack,'project_open_entrance\03_simulation_results\Output\Result_matlab.xlsx','Sheet','CONS_H_D_time')
% writetable(CONS_H_M_time_OE_table_unstack,'project_open_entrance\03_simulation_results\Output\Result_matlab.xlsx','Sheet','CONS_H_M_time')
% writetable(GFCF_D_time_OE_table_unstack,'project_open_entrance\03_simulation_results\Output\Result_matlab.xlsx','Sheet','GFCF_D_time')
% writetable(GFCF_M_time_OE_table_unstack,'project_open_entrance\03_simulation_results\Output\Result_matlab.xlsx','Sheet','GFCF_M_time')
!del 'project_open_entrance\03_simulation_results\Output\Result_matlab.xlsx'
writetable(OE_table,'project_open_entrance\03_simulation_results\Output\Result_matlab.xlsx','Sheet','data','WriteMode','overwritesheet')
writetable(meta_table,'project_open_entrance\03_simulation_results\Output\Result_matlab.xlsx','Sheet','meta','WriteMode','overwritesheet')