A Novel Dynamic Approach for Determining Real-Time Interior Visual Comfort Exploiting Machine Learning Techniques

A Novel Dynamic Approach for Determining Real-Time Interior Visual Comfort Exploiting Machine Learning Techniques

The accurate assessment of visual comfort in indoor spaces is crucial for creating environments that enhance occupant well-being, productivity, and overall satisfaction. This paper presents a groundbreaking contribution to the field of visual comfort assessment in occupied buildings, addressing the...

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Bibliographic Details
Main Authors: Christos Tzouvaras, Asimina Dimara, Alexios Papaioannou, Christos-Nikolaos Anagnostopoulos, Stelios Krinidis, Konstantinos Arvanitis, Dimosthenis Ioannidis, Dimitrios Tzovaras
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Applied Sciences
Subjects:
visual comfort
visual comfort estimation
illuminance modeling
predictive models
regression models
decision tree regressor
Online Access:https://www.mdpi.com/2076-3417/13/12/6975

Internet

https://www.mdpi.com/2076-3417/13/12/6975

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