Learning personalized visual comfort: A data-driven adaptive shading control framework using artificial intelligence

doi:10.1016/j.enbuild.2025.116801

2025-12-02

PRE

Luoxi Hao

Lei Pang

Jean‐Louis Scartezzini

Junli Xu

Yujie Wu

DOI：10.1016/j.enbuild.2025.116801

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摘要

En 中文

• 从盲覆盖行为中学习到的个人WPI/DGP范围。 • 4天时空CNN模型优于LSTM和RF模型。 • 行为不匹配率相比默认控制降低了70%。 • 乘员可接受率从68%提升至83%。 • 试点部署显示对真实乘员具有快速适应性。

期刊

Energy and Buildings

IF:

7.1

论文数:

1.5W

被引数:

6.8W

机构

china three gorges investment management co., ltd. (ctgim)

学者数:

论文数: 1

被引数: 0

tongji university

学者数:

7.8W

论文数: 6.0W

被引数: 98

école polytechnique fédérale de lausanne (epfl)

学者数:

489

论文数: 195

被引数: 1

soochow university

学者数:

1.2W

论文数: 4.5K

被引数: 5

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