Journal article
Sustainable Production and Consumption, Forthcoming(Forthcoming), 2024, pp. Forthcoming
APA
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Rethnam, O. R., & Thomas, A. (2024). A physics-informed deep learning-based Urban Building Thermal Comfort Modeling and Prediction framework for identifying thermally vulnerable building stock. Sustainable Production and Consumption, Forthcoming(Forthcoming), Forthcoming. https://doi.org/10.1108/SASBE-02-2024-0047
Chicago/Turabian
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Rethnam, Omprakash Ramalingam, and Albert Thomas. “A Physics-Informed Deep Learning-Based Urban Building Thermal Comfort Modeling and Prediction Framework for Identifying Thermally Vulnerable Building Stock.” Sustainable Production and Consumption Forthcoming, no. Forthcoming (2024): Forthcoming.
MLA
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Rethnam, Omprakash Ramalingam, and Albert Thomas. “A Physics-Informed Deep Learning-Based Urban Building Thermal Comfort Modeling and Prediction Framework for Identifying Thermally Vulnerable Building Stock.” Sustainable Production and Consumption, vol. Forthcoming, no. Forthcoming, 2024, p. Forthcoming, doi:10.1108/SASBE-02-2024-0047 .
BibTeX Click to copy
@article{omprakash2024a,
title = {A physics-informed deep learning-based Urban Building Thermal Comfort Modeling and Prediction framework for identifying thermally vulnerable building stock},
year = {2024},
issue = {Forthcoming},
journal = {Sustainable Production and Consumption},
pages = {Forthcoming},
volume = {Forthcoming},
doi = {10.1108/SASBE-02-2024-0047 },
author = {Rethnam, Omprakash Ramalingam and Thomas, Albert}
}