Utilizing Artificial Neural Network for Prediction of Occupants Thermal Comfort: A Case Study of a Test Room Fitted With a Thermoelectric Air-Conditioning System

Utilizing Artificial Neural Network for Prediction of Occupants Thermal Comfort: A Case Study of a Test Room Fitted With a Thermoelectric Air-Conditioning System

Subjective analysis of thermal comfort of occupants relates to the recording of the level of satisfaction or dissatisfaction of occupants with regard to indoor environmental conditions on a scale which ranges from -5 to +5. This requires recruitment of subjects and matching for gender, age etc. In t...

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Bibliographic Details
Main Authors: Kashif Irshad, Asif Irshad Khan, Sayed Ameenuddin Irfan, Md. Mottahir Alam, Abdulmohsen Almalawi, Md. Hasan Zahir
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Artificial neural network
indoor temperature
relative humidity
thermal comfort
thermoelectric air duct
Online Access:https://ieeexplore.ieee.org/document/9055431/

Internet

https://ieeexplore.ieee.org/document/9055431/

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