"Machine Learning Techniques to Predict Real Time Thermal Comfort, ..."

Yaa Takyiwaa Acquaah et al. (2022)

> Home

Details and statistics

DOI: 10.1007/978-3-031-08530-7_55

access: closed

type: Conference or Workshop Paper

metadata version: 2022-09-02

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/ieaaie/AcquaahGTR22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ieaaie/AcquaahGTR22
Yaa Takyiwaa Acquaah, Balakrishna Gokaraju, Raymond C. Tesiero, Kaushik Roy:
Machine Learning Techniques to Predict Real Time Thermal Comfort, Preference, Acceptability, and Sensation for Automation of HVAC Temperature. IEA/AIE 2022: 659-665

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.