There is great interest in how the growth of artificial intelligence and machine learning may
affect global GHG emissions. However, such emissions impacts remain uncertain, owing in …

Building Energy prediction has emerged as an active research area due to its potential in
improving energy efficiency in building energy management systems. Essentially, building …

Conceptual architectural design is a complex process that draws on past experience and
creativity to generate new designs. The application of artificial intelligence to this process …

During the last few years, multi-objective optimization processes have become one of the
main challenges for energy efficiency in buildings. In this work, a new efficient multi …

We present a physics-constrained deep learning method to develop control-oriented models
of building thermal dynamics. The proposed method uses systematic encoding of physics …

Nowadays building performance optimization is extended to urban planning Multi-Objective
Optimization (MOO). Most research focuses on the optimization of energy use and daylight …

The construction industry is adopting high-performance materials due to technological and
environmental advances. Researchers worldwide are studying the use of recycled coarse …

A comfortable indoor environment plays an important role in improving students' learning
efficiency and health. How to optimize the design of primary and secondary school …

Building energy simulations can be effective in the real world only if the building energy
model is appropriately tuned, ie, calibrated. Whatever the purpose, from detailed energy …

Artificial Intelligence (AI) applications in building performance prediction for environmental
sustainability outcomes play a significant role in compensating for computationally …