## 4 Computational Experiments and Results Analysis
### Comparison Between Models
#### 4.4.3 Robustness by Changing Data in the Solutions  
A new phase of testing involves taking the sizing provided by each model in a specific instance and modifying the parameters of demand or the forecasts (solar radiation and wind speed), as shown in Table 13. The objective is to evaluate the robustness of the sizing, determining whether the given sizing remains feasible with the new data. Additionally, changes in output data, such as LCOE and generation percentages, are examined. To better understand the concept described, consider variation 4, depicted in Figure 13, where all the data shift upward (orange line) in relation to the original instance (blue line). \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Instance** & **ENS** & \(\delta\)**LPSP** & **Fuel Cost** & **Tax Incentive** \\ \hline instance1 & 5\% & 1 h & 0.56 & No \\ instance2 & 5\% & 1 h & 0.56 & Yes \\ instance3 & 5\% & 1 h & 0.8 & No \\ instance4 & 5\% & 1 h & 0.8 & Yes \\ instance5 & 5\% & 1 week & 0.56 & No \\ instance6 & 5\% & 1 week & 0.56 & Yes \\ instance7 & 5\% & 1 week & 0.8 & No \\ instance8 & 5\% & 1 week & 0.8 & Yes \\ instance9 & 10\% & 1 h & 0.56 & No \\ instance10 & 10\% & 1 h & 0.56 & Yes \\ instance11 & 10\% & 1 h & 0.8 & No \\ instance12 & 10\% & 1 h & 0.8 & Yes \\ instance13 & 10\% & 1 week & 0.56 & No \\ instance14 & 10\% & 1 week & 0.56 & Yes \\ instance15 & 10\% & 1 week & 0.8 & No \\ instance16 & 10\% & 1 week & 0.8 & Yes \\ \hline \hline \end{tabular}
\end{table} 
Table 10: Parameter comparison—three models. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Instance** & **Dt + 1y** & **St + 1y** & **Dt + My** & **St + My** \\ \hline instance1 & 0.185 & 0.158 & 0.236 & 0.220 \\ instance2 & 0.160 & 0.154 & 0.238 & 0.218 \\ instance3 & 0.232 & 0.190 & 0.430 & 0.288 \\ instance4 & 0.231 & 0.186 & 0.336 & 0.286 \\ \hline \hline \end{tabular}
\end{table} 
Table 9: LCOE comparison between models. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Variation** & **Demand** & **Forecast** &
\begin{tabular}{c} **Data Than** \\ **Changes** \\ \end{tabular} \\ \hline Variation 1 & Rises 5\% & & All \\ Variation 2 & & Drops 5\% & All \\ Variation 3 & Rises 5\% & Drops 5\% & All \\ Variation 4 & Rises 10\% & & All \\ Variation 5 & & Drops 10\% & All \\ Variation 6 & Rises 10\% & Drops 10\% & All \\ Variation 7 & Rises 5\% & & Percentile 20\% \\ Variation 8 & & Drops 5\% & Percentile 20\% \\ Variation 9 & Rises 5\% & Drops 5\% & Percentile 20\% \\ Variation 10 & Rises 10\% & Rrops 10\% & Percentile 20\% \\ \hline \hline \end{tabular}
\end{table} 
Table 13: Variations in demand and forecast. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Instance** & **Dt + 1y** & **St + 1y** & **Dt + My** \\ \hline instance1 & 0.185 & 0.158 & 0.236 \\ instance2 & 0.160 & 0.154 & 0.238 \\ instance3 & 0.232 & 0.190 & 0.430 \\ instance4 & 0.231 & 0.186 & 0.336 \\ instance5 & 0.159 & 0.143 & 0.222 \\ instance6 & 0.176 & 0.138 & 0.293 \\ instance7 & 0.199 & 0.172 & 0.330 \\ instance8 & 0.236 & 0.165 & 0.306 \\ instance9 & 0.171 & 0.161 & 0.266 \\ instance10 & 0.162 & 0.159 & 0.294 \\ instance11 & 0.219 & 0.201 & 0.408 \\ instance12 & 0.229 & 0.200 & 0.339 \\ instance13 & 0.167 & 0.143 & 0.237 \\ instance14 & 0.156 & 0.138 & 0.237 \\ instance15 & 0.209 & 0.172 & 0.403 \\ instance16 & 0.227 & 0.165 & 0.332 \\ \hline \hline \end{tabular}
\end{table} 
Table 11: LCOE comparison between deterministic models and stochastic one-year model.