Estimation of the mean radiant temperature in office buildings using an artificial neural network developed in a Phyton environment

Publication type: Journal Article
Publication date: 2025-01-30
Taylor & Francis
scimago Q2
wos Q2
SJR: 0.484
CiteScore: 5.4
Impact factor: 2.5
ISSN: 17512549, 17562201
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Özbey M. F., Lotfi B., Turhan C. Estimation of the mean radiant temperature in office buildings using an artificial neural network developed in a Phyton environment // Advances in Building Energy Research. 2025. pp. 1-16.
GOST all authors (up to 50) Copy
Özbey M. F., Lotfi B., Turhan C. Estimation of the mean radiant temperature in office buildings using an artificial neural network developed in a Phyton environment // Advances in Building Energy Research. 2025. pp. 1-16.
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RIS Copy
TY - JOUR
DO - 10.1080/17512549.2025.2457650
UR - https://www.tandfonline.com/doi/full/10.1080/17512549.2025.2457650
TI - Estimation of the mean radiant temperature in office buildings using an artificial neural network developed in a Phyton environment
T2 - Advances in Building Energy Research
AU - Özbey, Mehmet Furkan
AU - Lotfi, Bahram
AU - Turhan, Cihan
PY - 2025
DA - 2025/01/30
PB - Taylor & Francis
SP - 1-16
SN - 1751-2549
SN - 1756-2201
ER -
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BibTex (up to 50 authors) Copy
@article{2025_Özbey,
author = {Mehmet Furkan Özbey and Bahram Lotfi and Cihan Turhan},
title = {Estimation of the mean radiant temperature in office buildings using an artificial neural network developed in a Phyton environment},
journal = {Advances in Building Energy Research},
year = {2025},
publisher = {Taylor & Francis},
month = {jan},
url = {https://www.tandfonline.com/doi/full/10.1080/17512549.2025.2457650},
pages = {1--16},
doi = {10.1080/17512549.2025.2457650}
}