## 3 Methods
### Calculation Process: Number of Iterations
\begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline
**Average** & & & & & & & & \\
**Heating** & **ACH** & **Temp.** & **\(a_{0}\)** & **\(b_{0}\)** & **\(c_{0}\)** & **\(d_{0}\)** & **\(e_{0}\)** & **\(r^{2}\)** \\
**Consumption** & **(h-1)** & **(\({}^{\circ}\)C)** & & & & & & & \\ \hline
15.97 & 0.5 & Average & 2.794215 & 2.479324 & 8.207154 & 5.324309 & 1.06168 & 0.91 \\
16.34 & 0.5 & +0.5 \({}^{\circ}\)C & 3.618063 & 7.566651 & 29.62327 & 1.013869 & 0 & 0.83 \\
16.94 & 0.5 & +1 \({}^{\circ}\)C & 3.273713 & 7.46334 & 24.62232 & 1.0127 & 0 & 0.84 \\ \hline
5.30 & 0.8 & Average & 3.668553 & 9.12329 & \(-\)2.019566 & 3.309106 & 1.0585379 & 0.95 \\
5.45 & 0.8 & +0.5 \({}^{\circ}\)C & 3.273713 & 7.46334 & 24.62232 & 1.0127 & 0 & 0.84 \\
5.52 & 0.8 & +1 \({}^{\circ}\)C & 1.973009 & 4.136657 & 0.203551 & 1.313985 & 1.085427 & 0.81 \\ \hline
1.18 & 1.0 & Average & 2.734177 & 3321.353 & \(-\)3.61981 & 3.85073 & 3.236254 & 0.99 \\
3.16 & 1.0 & +0.5 \({}^{\circ}\)C & 3.07777 & 13.48641 & 45.60571 & 1.011666 & 0 & 0.92 \\
4.38 & 1.0 & +1 \({}^{\circ}\)C & 3.050013 & 13.48202 & 45.16667 & 1.011673 & 0 & 0.92 \\ \hline
0.36 & 2.0 & Average & 1.449848 & 347.4151 & \(-\)0.27093 & 0.463775 & 3.049235 & 0.99 \\
1.15 & 2.0 & +0.5 \({}^{\circ}\)C & 1.512973 & 1.519573 & 48.13923 & 39.73227 & 1.093759 & 0.91 \\
1.19 & 2.0 & +1 \({}^{\circ}\)C & 0.447502 & 149105.2 & \(-\)0.3577 & 1.293282 & 10.01984 & 0.99 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Curve fitting of probability density function during the cooling season. \begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline
**Average** & & & & & & & \\
**Coeling** & **ACH** & **Outdoor** & & & & & \\
**Energy** & **(h-1)** & **Temp.** & **(\({}^{\circ}\)C)** & & & & & \\
**(kWh/m\({}^{2}\))** & & & & & & & & \\ \hline
15.97 & 0.5 & Average & 2.794215 & 2.479324 & 8.207154 & 5.324309 & 1.06168 & 0.91 \\
16.34 & 0.5 & +0.5 \({}^{\circ}\)C & 3.618063 & 7.566651 & 29.62327 & 1.013869 & 0 & 0.83 \\
16.94 & 0.5 & +1 \({}^{\circ}\)C & 3.273713 & 7.46334 & 24.62232 & 1.0127 & 0 & 0.84 \\ \hline
5.30 & 0.8 & Average & 3.668553 & 9.12329 & \(-\)2.019566 & 3.309106 & 1.0585379 & 0.95 \\
5.45 & 0.8 & +0.5 \({}^{\circ}\)C & 3.273713 & 7.46334 & 24.62232 & 1.0127 & 0 & 0.84 \\
5.52 & 0.8 & +1 \({}^{\circ}\)C & 1.973009 & 4.136657 & 0.203551 & 1.313985 & 1.085427 & 0.81 \\ \hline
1.18 & 1.0 & Average & 2.734177 & 3321.353 & \(-\)3.61981 & 3.85073 & 3.236254 & 0.99 \\
3.16 & 1.0 & +0.5 \({}^{\circ}\)C & 3.077777 & 13.48641 & 45.60571 & 1.011666 & 0 & 0.92 \\
4.38 & 1.0 & +1 \({}^{\circ}\)C & 3.050013 & 13.48202 & 45.16667 & 1.011673 & 0 & 0.92 \\ \hline
0.36 & 2.0 & Average & 1.449848 & 347.4151 & \(-\)0.27093 & 0.463775 & 3.049235 & 0.99 \\
1.15 & 2.0 & +0.5 \({}^{\circ}\)C & 1.512973 & 1.519573 & 48.13923 & 39.73227 & 1.093759 & 0.91 \\
1.19 & 2.0 & +1 \({}^{\circ}\)C & 0.447502 & 149105.2 & \(-\)0.3577 & 1.293282 & 10.01984 & 0.99 \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Curve fitting of probability density function during the heating season. temperature increases. For example, it is about 4.02% when the outdoor air increase from 0.5 \({}^{\circ}\)C to 1 \({}^{\circ}\)C. Thus, it can be concluded that this effect is being diffused when the number of air changes increases. When we analyze the effect of air changes over the heating energy consumption, we can conclude from Figure 4a that when the number of air changes increases, the heating energy consumption increases. For example, in Figure 4a, we can see that the most probable energy consumption for 0.5 air changes is about 2.72 kWh/m\({}^{2}\) for a probability of 3.65%. At the same time, for two air changes, we have a probability of 3.09% for a heating energy consumption of 14.15 kWh/m\({}^{2}\). Despite the fact that the summer season is a holiday, cooling systems may be added to classrooms due to the expected need to reduce pandemic infections in this hot period. As a consequence, the cooling energy demand estimated for that period was defined.