Experimental data of Augmenting building performance predictions during design using generative adversarial networks and immersive virtual environments
收藏DataONE2023-02-21 更新2024-06-08 收录
下载链接:
https://search.dataone.org/view/sha256:95ace41790a3897ce2484f12ae0e36d287f93c299941ddc8601ec5bb9aedf3fb
下载链接
链接失效反馈官方服务:
资源简介:
Thirty people participated in an experiment on the simulation of artificial lighting switch uses using the IVE. Their light switch uses data under different work area illuminance were collected and analyzed. The building performance models (BPMs) proposed by Hunt and Da Silva were selected as the existing BPM and the performance target respectively.
创建时间:
2023-11-08



