Optimizing building designs for energy efficiency and occupant comfort presents significant
challenges due to the complex and often conflicting requirements of various stakeholders …

Neighborhoods consume large amount of energy and generate substantial pollutant
emissions worldwide, and assessment of the environmental impacts (EIs) has garnered …

This paper explores innovative approaches to reducing energy consumption in building
ventilation systems through the implementation of adaptive control strategies. Using a …

This paper presents a comparative life cycle assessment (LCA) of the traditional and modern
materials used in heritage building restoration, focusing on mud, limestone, decorative …

This study enhances thermodynamic efficiency and demand response in an office building's
HVAC system using machine learning (ML) and model predictive control (MPC). This study …

The growing demand for eco-friendly alternatives within the construction industry has
promoted the use of bio-based materials. This research highlights the innovative application …

This study evaluates the effectiveness of six machine learning models, Artificial Neural
Networks (ANN), Random Forest (RF), Extreme Gradient Boosting (XGBoost), Support …

The severe global warming driven by the large-scale emission of greenhouse gases has
made the reduction of carbon emissions a critical priority for global economic and social …

The construction sector is one of the industries with the highest environmental impact due to
resource consumption and waste generation. Material waste exacerbates these impacts by …

Addressing greenhouse gas emissions in the built environment is crucial due to its
significant contribution to the total equivalent CO2 emissions. Recent efforts have primarily …