Optimizing Educational Spaces: Achieving Optimal Thermal Comfort, Occupancy Precision, and Energy Efficiency through the Integration of IoT Sensor Technology and Fuzzy Logic Control-Reference-Cited by-同舟云学术

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Optimizing Educational Spaces: Achieving Optimal Thermal Comfort, Occupancy Precision, and Energy Efficiency through the Integration of IoT Sensor Technology and Fuzzy Logic Control

Published:2024-03-15 Issue: Volume:622 Page:1557-1563
ISSN:
Container-title:SoutheastCon 2024
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Author:

Darwish Hiba¹,Challa Koundinya¹,Sharma Anisha¹,Graves Courey²,Islam AKM Kamrul¹,Tesiero Raymond³,AlHmoud Issa W.¹,Gokaraju Balakrishna¹

Affiliation:

1. North Carolina Agricultural and Technical State University,Computational Data Science and Engineering,Greensboro,USA

2. North Carolina Agricultural and Technical State University,Electrical and Computer Engineering,Greensboro,USA

3. North Carolina Agricultural and Technical State University,Civil, Architectural and Environmental Engineering,Greensboro,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10500015/10500024/10500192.pdf?arnumber=10500192

Reference21 articles.

1. Analysis of thermal comfort with predicted mean vote (PMV) index using artificial neural network;Dyvia,2021

2. Thermal Comfort in Buildings: Evaluating PMV Index and ANN Model for Prediction;Ahmmed;J. Clerk Maxwell, A Treatise on Electricity and Magnetism,1892

3. A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment

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