Thermal modeling and Machine learning for optimizing heat transfer in smart city infrastructure balancing energy efficiency and Climate Impact
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Elsevier BV
Reference11 articles.
1. Energy management and demand response with intelligent learning for multi-thermal-zone buildings;Gao;Energy,2020
2. Gao, N., Shao, W., Rahaman, M., Zhai, J., David, K., & Salim, F. (2020). Transfer Learning for Thermal Comfort Prediction in Multiple Cities. ArXiv, abs/2004.14382. https://doi.org/10.1016/J.BUILDENV.2021.107725.
3. Thermal Comfort Modeling for Smart Buildings: A Fine-Grained Deep Learning Approach;Zhang;IEEE Internet of Things Journal,2019
4. Eini, R., & Abdelwahed, S. (2019). Learning-based Model Predictive Control for Smart Building Thermal Management. 2019 IEEE 16th International Conference on Smart Cities: Improving Quality of Life Using ICT & IoT and AI (HONET-ICT), 038-042. https://doi.org/10.1109/HONET.2019.8908098.
5. Gorantla, Venkata Ashok K., et al. “An intelligent optimization framework to predict the vulnerable range of tumor cells using Internet of things.” 2023 IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA). IEEE, 2023.
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