Improved Thermal Comfort Model Leveraging Conditional Tabular GAN Focusing on Feature Selection

Occupants' personal thermal comfort (PTC) is indispensable for their well-being, physical and mental health, and work efficiency. The heating system controlled by Artificial intelligence (AI) can calibrate the indoor thermal condition automatically by analyzing different physiological and envir...

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Veröffentlicht in:	IEEE access 2024-01, Vol.12, p.1-1
Hauptverfasser:	Shajalal, Md, Bohlouli, Milad, Das, Hari Prasanna, Boden, Alexander, Stevens, Gunnar
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Buildings data inadequacy Data models Feature extraction Feature Selection Generative Adversarial Network Generative adversarial networks Human factors Indoor environments Inhabitants Machine learning Performance prediction Personal Thermal Comfort Predictive models Smart buildings Synthetic data Task analysis Thermal analysis Thermal comfort Workplaces
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