Thermal comfort modeling for smart buildings : a fine-grained deep learning approach
The emerging Internet of Things (IoT) technology enables smart building management and operation to improve building energy efficiency and occupant thermal comfort. In this paper, we perform data analysis using the IoT generated building data to derive accurate thermal comfort model for smart buildi...
Saved in:
Main Authors: | Zhang, Wei, Hu, Weizheng, Wen, Yonggang |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/150840 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
iTCM : toward learning-based thermal comfort modeling via pervasive sensing for smart buildings
by: Hu, Weizheng, et al.
Published: (2020) -
LOCALISED THERMAL COMFORT IN SHARED ROOMS OF EXISTING OFFICE BUILDINGS
by: SINDHU SANTOSH SHETTY
Published: (2019) -
Demystifying thermal comfort in smart buildings : an interpretable machine learning approach
by: Zhang, Wei, et al.
Published: (2021) -
Smart electronic applications with Google home
by: K A Abdul Hameed
Published: (2024) -
CROWDSOURCED INDOOR POSITIONING SYSTEMS AND METHODS
by: ZHAO YONGHAO
Published: (2019)