# Sustainable Building Tool by Energy Baseline: Case Study
## 2 Methodology
### Simulation Models  
Simulation serves as a pivotal avenue for experimental exploration within a model, affording insights into system performance and the judicious evaluation of novel strategies within the confines demarcated by predefined criteria [53; 54].  
The raison d'etre of energy simulation lies in the meticulous modeling of a building and its ambient milieu, thereby prognosticating its forthcoming energy performance [55]. This necessitates the comprehensive consideration of intrinsic architectural attributes (such as geometry and materials), meteorological conditions, and operational parameters (inclusive of occupancy levels, operational hours, internal loads, etc.).  
The simulation of energy dynamics within the architectural realm facilitates a temporal analysis of a building's energy requisites, concurrently ensuring the provision of fundamental comfort conditions congruent with its design and environmental context [53]. It emerges as a highly efficacious instrument for attaining equilibrium between energy consumption, economic considerations, comfort provisioning, and environmental sustainability.  
In contemporary discourse, energy simulation within the built environment assumes an indomitable role in advancing the frontiers of energy consumption optimization and  
\begin{table}
\begin{tabular}{c c c} \hline \hline
**Case** & **Definition** & **Validation** \\ \hline Homocedasticity & The error variance is constant. & The plot of residuals vs. fitted values: Verify the plot without an association patterns. \\  & \(Var(U_{i})=\sigma^{2}\) & [PERSON]’s statistic. \\  & & Breush–Pagan test. \\  & & Barlet test \\ \hline \hline \end{tabular} \begin{tabular}{c c} \hline \hline \multicolumn{2}{c}{\begin{tabular}{c} \\ \end{tabular} } \\ \hline Independence & Data should be independent. \\  & One observation should not give \\  & information about the others. \\  & \(E\left[u_{i}u_{j}\right]=0\) & \\ \hline \hline \end{tabular} \begin{tabular}{c c} \hline \hline \multicolumn{2}{c}{\begin{tabular}{c} Multicollinearity (Only for the multivariable model) \\ \end{tabular} } \\ \hline \hline \multicolumn{2}{c}{\begin{tabular}{c} Multicollinearity exists when one or more \\ variables are a linear combination of \\ another. This means that the correlation \\ coefficient between these two variables is 1. \\ \end{tabular} } \\ \hline \hline \end{tabular} \begin{tabular}{c c} \hline \hline \multicolumn{2}{c}{\begin{tabular}{c} Multicollinearity (Only for the \\ multivariable model) \\ \end{tabular} } \\ \hline \hline \end{tabular} \begin{tabular}{c c} \hline \hline \multicolumn{2}{c}{\begin{tabular}{c} Multicollinearity exists when one or more \\ variables are a linear combination of \\ another. This means that the correlation \\ coefficient between these two variables is 1. \\ \end{tabular} } \\ \hline \hline \end{tabular} \begin{tabular}{c c} \hline \hline \multicolumn{2}{c}{\begin{tabular}{c} Multicollinearity exists when one or more \\ variables are a linear combination of \\ another. This means that the correlation \\ coefficient between these two variables is 1. \\ \end{tabular} } \\ \hline \hline \end{tabular} \
\begin{tabular}{c c} \hline \hline \multicolumn{2}{c}{
\begin{tabular}{c} Multicollinearity (Only for the \\ multivariable model) \\ \end{tabular} } \\ \hline \hline \end{tabular}
\end{table}
Table 2: _Cont._efficiency. This is achieved through the utilization of computational tools, which enable the comprehensive evaluation of the energy performance of buildings and their installations [56; 57]. By leveraging authentic data acquired through direct measurements, energy simulation validates the existing state of a structure, subsequently engendering recommendations for enhancements and the amelioration of energy consumption.  
Dynamic simulations of buildings are facilitated by sophisticated software (V7) applications designed explicitly for the assessment of energy consumption. Foremost among these and enjoying widespread international acclaim are EnergyPlus, Design Builder, TRNSYS, and Equest.