Experimental study on the physiological parameters of occupants under different temperatures and prediction of their thermal comfort using machine learning algorithms

Author:

Ren Jianlin,Zhang Ran,Cao Xiaodong,Kong Xiangfei

Funder

National Natural Science Foundation of China

Chunhui Project Foundation of the Education Department of China

Publisher

Elsevier BV

Reference72 articles.

1. Off-the-shelf wearable sensing devices for personalized thermal comfort models: a systematic review on their use in scientific research;Costantino;J. Build. Eng.,2023

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3. Real-time building heat gains prediction and optimization of HVAC setpoint: an integrated framework;Wang;J. Build. Eng.,2022

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5. A knowledge based approach for selecting energy-aware and comfort-driven HVAC temperature set points;Ghahramani;Energy Build.,2014

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