Crossmark

A study on the advancement of building energy simulations: Utilizing ChatGPT to enhance occupancy rate predictions and sustainability outcomes

Published Online: 2025-06-24

Authors

Lee, Jae-Woo

Park, Kyung-Soon

Jun, Yong-Joon https://orcid.org/0000-0003-3573-1420
Eom, Seon-Hye
Funding

Funding for this research was provided by:

National Research Foundation of Korea (No. 2021R1C1C200950013, No. 2022R1A2C200663312)

National Research Foundation of Korea (No. 2021R1C1C200950013, No. 2022R1A2C200663312)
License Information

Text and Data Mining valid from 2025-06-24

Version of Record valid from 2025-06-24
More Information

Article History

Received: 3 November 2024

Accepted: 28 April 2025

First Online: 24 June 2025

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Document is current