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Collaborations and top research areas from the last five years
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Development of building-performance-based climate maps of Kazakhstan
8/1/24 → 12/31/24
Project: MES RK
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Evaluating the performance of PCM-integrated buildings using smart IoT-based sensing technology for different climate zones in Kazakhstan
Memon, S., Nadeem, A., Karaca, F., Tang, P., Satyanaga, A. & Javed, M. F.
1/1/24 → 12/31/26
Project: FDCRGP
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Evaluating the impact of climate change in buildings integrated with phase change materials located in different climate zones of the world
Memon, S., Nadeem, A., CUI, H. & LO, T. Y.
1/1/21 → 12/31/23
Project: FDCRGP
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Energy, Economic and Environmental evaluation of buildings integrated with phase change materials in different climate zones of the world
Memon, S., Nadeem, A., Cui, H. Z., Lo, T. Y., Kim, J., Mussard, M. & Shon, C.
1/1/18 → 12/31/20
Project: FDCRGP
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A novel framework for developing a machine learning-based forecasting model using multi-stage sensitivity analysis to predict the energy consumption of PCM-integrated building
Nazir, K., Memon, S. A. & Saurbayeva, A., Dec 15 2024, In: Applied Energy. 376, 124180.Research output: Contribution to journal › Article › peer-review
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A novel method to evaluate phase change materials' impact on buildings' energy, economic, and environmental performance via controlled natural ventilation
Ahmad, A. & Memon, S. A., Jan 1 2024, In: Applied Energy. 353, 122033.Research output: Contribution to journal › Article › peer-review
11 Citations (Scopus) -
Evaluating future building energy efficiency and environmental sustainability with PCM integration in building envelope
Kulumkanov, N., Memon, S. A. & Khawaja, S. A., Sept 15 2024, In: Journal of Building Engineering. 93, 109413.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
Novel building energy performance-based climate zoning enhanced with spatial constraint
Remizov, A., Memon, S. A. & Kim, J. R., Feb 1 2024, In: Applied Energy. 355, 122238.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Predicting the PCM-incorporated building's performance using optimized linear kernel and tree-based machine learning methods
Nazir, K., Memon, S. A. & Saurbayeva, A., Jul 30 2024, In: Journal of Energy Storage. 94, 112495.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus)