Browsing Faculty of Engineering by Subject "Urban building energy demand prediction"
Now showing items 1-1 of 1
-
Feature extraction for enhancing data-driven urban building energy models
(European Council on Computing in Construction (EC3), 2023)Building energy demand assessment plays a crucial role in designing energy-efficient building stocks. However, most studies adopting a data-driven approach feel the deficiency of datasets with building-specific information ...
Share this page