Building energy assessment is crucial for sustainable energy goals. Retrofitting existing buildings using energy models is common, but current models are complex and unreliable. To improve model reliability, researchers identified important energy use parameters for different regions. They used a model called ECCABS and found that stepwise regression is faster and less computationally intensive than sensitivity analysis, producing similar results.