The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
From energy efficiency to thermal resilience and passive survivability during summer power outages: AI-supported prediction and physics-based genetic algorithm optimization of building envelopes
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Mckay, M. D., Beckman, R. J., & Conover, W. J. (2000) · Technometrics · doi:10.1080/00401706.2000.10485979 · Cited by 2,833
Death toll exceeded 70,000 in Europe during the summer of 2003
Robine, J.-M., Cheung, S. L. K., Le Roy, S., Van Oyen, H., Griffiths, C., Michel, J.-P., & Herrmann, F. R. (2007) · Comptes Rendus. Biologies · doi:10.1016/j.crvi.2007.12.001 · Cited by 2,127
A review on simulation-based optimization methods applied to building performance analysis
Nguyen, A.-T., Reiter, S., & Rigo, P. (2014) · Applied Energy · doi:10.1016/j.apenergy.2013.08.061 · Cited by 1,379
Panteli, M., & Mancarella, P. (2015) · Electric Power Systems Research · doi:10.1016/j.epsr.2015.06.012 · Cited by 932
Effects of Cold Weather on Mortality: Results From 15 European Cities Within the PHEWE Project
Analitis, A., Katsouyanni, K., Biggeri, A., Baccini, M., Forsberg, B., Bisanti, L., Kirchmayer, U., Ballester, F., Cadum, E., Goodman, P. G., et al. (2008) · American Journal of Epidemiology · doi:10.1093/aje/kwn266 · Cited by 664
A review of urban energy system models: Approaches, challenges and opportunities
Keirstead, J., Jennings, M., & Sivakumar, A. (2012) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2012.02.047 · Cited by 641
Potential of macroencapsulated PCM for thermal energy storage in buildings : a comprehensive review
Rathore, P. K. S., & Shukla, S. K. (2019) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2019.07.221 · Cited by 396
Measuring climatic impacts on energy consumption: A review of the empirical literature
Auffhammer, M., & Mansur, E. T. (2014) · Energy Economics · doi:10.1016/j.eneco.2014.04.017 · Cited by 340
A review on macro-encapsulated phase change material for building envelope applications
Liu, Z., Yu, Z. (., Yang, T., Qin, D., Li, S., Zhang, G., Haghighat, F., & Joybari, M. M. (2018) · Building and Environment · doi:10.1016/j.buildenv.2018.08.030 · Cited by 322
Attia, S., Levinson, R., Ndongo, E., Holzer, P., Berk Kazanci, O., Homaei, S., Zhang, C., Olesen, B. W., Qi, D., Hamdy, M., et al. (2021) · Energy and Buildings · doi:10.1016/j.enbuild.2021.110869 · Cited by 208
Research works printed but not linked: 4
- Mehraban, 2026, Physics-informed AI-integrated digital twin framework for early and real-time prediction of mould growth in buildings, Building and Environment, 305, 10.1016/j.buildenv.2026.115221 · DOI
- Mirzabeigi, S. and Razkenari, M., Multiple benifits through residential building energy retrofit and thermal resilient design. Conference: 6th Residential Building Desing & Construction. 2022.
- Pedregosa, 2011, Scikit-learn: Machine learning, Machine Learning research, 12, 2825
- Wu, 2022, An interacting negative feedback mechanism in a coupled extreme weather–Humans–Infrastructure system: A case study of the 2021 winter storm in Texas, Frontiers in Physics, 10-2022
Metadata
- Authors
- Mehraban, M. H., Faraji, S., Mirzabeigi, S., Soltanian-Zadeh, S., & Sepasgozar, S. M. E.
- Venue
- Sustainable Cities and Society
- Publisher
- Elsevier BV
- Published
- 2026-11
- Volume
- 151
- Pages
- 107977
- ISSN
- 2210-6707
- Cited by
- 0
- References
- 44
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- creativecommons.org/licenses/by/4.0/ (vor)
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- CoChat. (2026). Citation check: From energy efficiency to thermal resilience and passive survivability during summer power outages: AI-supported prediction and physics-based genetic algorithm optimization of building envelopes. https://app.cochat.ai/papers/10.1016/j.scs.2026.107977
- The paper
- Mehraban, M. H., Faraji, S., Mirzabeigi, S., Soltanian-Zadeh, S., & Sepasgozar, S. M. E. (2026). From energy efficiency to thermal resilience and passive survivability during summer power outages: AI-supported prediction and physics-based genetic algorithm optimization of building envelopes. Sustainable Cities and Society. https://doi.org/10.1016/j.scs.2026.107977
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
