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Paper Abstract and Keywords
Presentation 2025-03-05 15:20
Personal Thermal Comfort Modeling and Agent Simulation Using Large Language Models
Shinnosuke Sasaki, Nattaon Techasarntikul, Yuichi Ohsita, Hideyuki Shimonishi (Osaka Univ.) CQ2024-101
Abstract (in Japanese) (See Japanese page) 
(in English) In building air-conditioning, occupant comfort is crucial, yet conventional PMV models cannot represent individual occupant differences in thermal preferences. This study proposes an LLM-based agent approach that simulates occupant-specific thermal sensations by storing environmental data and feedback as memories. The agent analyzes these memories, retrieves relevant information, and predicts real-time thermal sensation. We evaluated the proposed method using a dataset including subjective votes on thermal sensations, and demonstrated that our method can predict thermal sensations accurately for all 6 participants; an average absolute error improves by around 20%. We also implemented a simulation program employing this agent and showed the potential of LLM-based approaches for adaptive, personalized HVAC control.
Keyword (in Japanese) (See Japanese page) 
(in English) Large Language Model / personal thermal comfort / agent / HVAC / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 404, CQ2024-101, pp. 57-62, March 2025.
Paper # CQ2024-101 
Date of Issue 2025-02-26 (CQ) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF CQ2024-101

Conference Information
Committee MVE CQ IMQ IE  
Conference Date 2025-03-05 - 2025-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To CQ 
Conference Code 2025-03-MVE-CQ-IMQ-IE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Personal Thermal Comfort Modeling and Agent Simulation Using Large Language Models 
Sub Title (in English)  
Keyword(1) Large Language Model  
Keyword(2) personal thermal comfort  
Keyword(3) agent  
Keyword(4) HVAC  
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1st Author's Name Shinnosuke Sasaki  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Nattaon Techasarntikul  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Yuichi Ohsita  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Hideyuki Shimonishi  
4th Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2025-03-05 15:20:00 
Presentation Time 20 minutes 
Registration for CQ 
Paper # CQ2024-101 
Volume (vol) vol.124 
Number (no) no.404 
Page pp.57-62 
#Pages 6 
Date of Issue 2025-02-26 (CQ) 

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