A physics-informed deep learning-based Urban Building Thermal Comfort Modeling and Prediction framework for identifying thermally vulnerable building stock


Journal article


Omprakash Ramalingam Rethnam, Albert Thomas
Sustainable Production and Consumption, Forthcoming(Forthcoming), 2024, pp. Forthcoming

DOI: 10.1108/SASBE-02-2024-0047

Cite

Cite

APA   Click to copy
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   Click to copy
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   Click to copy
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}
}


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