Toward smarter HVAC control: Machine learning reveals hidden drivers in thermal comfort databases
Interpretable thermal-comfort modeling requires more than accuracy: it requires clarity about which inputs matter and how missing data policies reshape those conclusions. We present a quality-aware sensitivity framework that couples cross-dataset quality labeling with perturbation analysis to quanti...
I tiakina i:
| Ngā kaituhi matua: | , , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Elsevier
2026-05-01
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| Rangatū: | Energy and AI |
| Ngā marau: | |
| Urunga tuihono: | http://www.sciencedirect.com/science/article/pii/S2666546826000352 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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