Application of Artificial Intelligence in Generating Future Climate Files for Building Energy Simulation

As one of the main challenges of today's world, climate change is affecting various aspects of human life, especially the energy consumption of buildings. It affects the building’s heating and cooling energy in different regions and doubles the need for sustainable design and energy optimization. Future climate files can be generated using artificial intelligence technologies according to possible changes and applied to simulate buildings’ energy consumption. Therefore, it is possible to design more sustainably by applying future data created by artificial intelligence since the difference between the predicted and real energy performance is reduced. As a systematic review of previous research, this study has analyzed artificial intelligence methods and algorithms such as artificial neural networks (ANN) and machine learning (ML) for generating future climate files. The findings show that artificial intelligence can significantly increase the accuracy of predictions in future climate files and improve the results of building energy consumption simulations. This impact is evident in three main areas: enhancing input data, dynamic scenario prediction, and model improvement. The results of this study can be applied in the design of sustainable buildings, energy planning, and resource management regarding climate change. Advanced artificial intelligence techniques provide powerful tools for architects and engineers to improve the buildings' energy performance.

کلیدواژه ها:

Artificial Intelligence ، Building Energy Simulation ، Future Climate Files ، Machine Learning ، Climate Modeling ، Energy Efficiency