Machine Learning Techniques to Predict Real Time Thermal Comfort, Preference, Acceptability, and Sensation for Automation of HVAC Temperature

Yaa Acquaah; Balakrishna Gokaraju; Raymond Tesiero

Machine Learning Techniques to Predict Real Time Thermal Comfort, Preference, Acceptability, and Sensation for Automation of HVAC Temperature

Yaa Acquaah, Balakrishna Gokaraju, Raymond Tesiero

Research output: Contribution to journal › Article

Original language	English
Journal	Advances and Trends in Artificial Intelligence.
State	Published - 2022

Cite this

@article{2dd8e3a59b2347ed90b81df7733c63ce,

title = "Machine Learning Techniques to Predict Real Time Thermal Comfort, Preference, Acceptability, and Sensation for Automation of HVAC Temperature",

author = "Yaa Acquaah and Balakrishna Gokaraju and Raymond Tesiero",

year = "2022",

language = "English",

journal = "Advances and Trends in Artificial Intelligence.",

}