The objective of this study was to explore the potential a machine learning algorithm, Support Vector Machine Regression (SVR), forecast long-term hygrothermal responses and moisture performance light wood frame massive timber walls. Hygrothermal simulations were performed using 31-year long series climate data in three cities across Canada. Then, first 5 years used each case train model, which...

Energy retrofit of existing masonry buildings has become attractive to meet demands for reduction in energy consumption. Retrofit may, however, introduce moisture risk that needs be assessed. Hygrothermal simulation analysis is often conducted this respect. Nevertheless, hygrothermal interior insulated bare brick exposed driving rain can challenging due the many aspects involved determine heat-...