Building energy usage has been an important issue in recent decades, and energy
prediction models are important tools for analysing this problem. This study provides a …

The energy conservation of existing buildings plays a significant role in reducing global
carbon emissions and building energy consumption. The research on building energy …

Abstract Machine learning models have been widely used to study the prediction of heating
and cooling loads in residential buildings. However, most of these methods use the default …

Heat load prediction is essential for energy efficiency and carbon reduction in district heating
systems. However, heat load is influenced by many factors, such as building characteristics …

This study aims to develop innovative exterior cladding panels capable of improving the
walls' thermal performance for new and existing buildings. A phase change material (PCM) …

Occupant behavior in buildings might result into gap between predicted and actual energy
use and cause indoor thermal comfort fluctuations, due to its uncertainty and …

To achieve the goal of carbon neutrality, society must undertake a comprehensive green
transformation and build a decarbonization roadmap. Model simulation is a primary method …

Climate change has become a major problem for humanity in the last two decades. One of
the reasons that caused it, is our daily energy waste. People consume electricity in order to …

Urban building energy modeling (UBEM) is a practical approach in large-scale building
energy modeling for stakeholders in the energy industry to predict energy use in the building …

This study evaluates the effect of chemical additives such as cement, wood fly ash, and
calcium bentonite on the mechanical and thermal insulation of rammed earth (RE) material …