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

Yaa Takyiwaa Acquaah, Balakrishna Gokaraju, Raymond C. Tesiero, Kaushik Roy 0003. Machine Learning Techniques to Predict Real Time Thermal Comfort, Preference, Acceptability, and Sensation for Automation of HVAC Temperature. In Hamido Fujita, Philippe Fournier-Viger, Moonis Ali, Yinglin Wang, editors, Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence - 35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022, Kitakyushu, Japan, July 19-22, 2022, Proceedings. Volume 13343 of Lecture Notes in Computer Science, pages 659-665, Springer, 2022. [doi]

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