Artificial neural network models using thermal sensations and occupants’ behavior for predicting thermal comfort

Author:

Deng Zhipeng,Chen QingyanORCID

Funder

Ministry of Science and Technology

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference55 articles.

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3. A review of human thermal comfort experiments in controlled and semi-controlled environments;Craenendonck;Renew. Sustain. Energ. Rev.,2017

4. Investigation of the subjective response to elevated air velocities: climate chamber experiments in Hong Kong;Chow;Energ. Build.,1994

5. Assessment of thermal environment using a thermal manikin in a field environment chamber served by displacement ventilation system;Cheong;Build. Environ.,2006

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