Evaluation of machine learning applications in building life cycle processes for energy efficiency: A systematic review

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dc.contributor.authorGevher Nesibe Kaya
dc.contributor.authorFigen Beyhan
dc.contributor.authorZeynep Yeşim İlerisoy
dc.contributor.authorJan Cudzik
dc.date.accessioned2025-05-05T12:24:17Z
dc.date.available2025-05-05T12:24:17Z
dc.date.issued2025-06
dc.departmentFakülteler, Güzel Sanatlar ve Tasarım Fakültesi, Şehir ve Bölge Planlama Bölümü
dc.description.abstractIn recent years, machine learning has been increasingly applied to achieve energy efficiency in buildings. This study analyzes the utilization of machine learning across the building life cycle by reviewing literature on building energy efficiency. In this context, a systematic literature search was conducted using the Web of Science (WOS) search engine, and 868 publications were found. The publications were analyzed according to their year, subject scope, and qualification results, and 84 publications were selected. These publications were discussed under five categories: objective function and control variables, programs, simulations, machine learning, and optimization algorithms. The relationships between these categories and each phase of the building life cycle were examined. The findings suggest that machine learning can effectively optimize factors related to energy efficiency and building sustainability throughout the life cycle, and it is anticipated that interdisciplinary studies incorporating machine learning will experience exponential growth in the future.
dc.identifier.citationKaya, G. N., Beyhan, F., İlerisoy, Z. Y., & Cudzik, J. (2025). Evaluation of machine learning applications in building life cycle processes for energy efficiency: A systematic review. Energy Reports, 13, 4900-4916.
dc.identifier.doi10.1016/j.egyr.2025.04.034
dc.identifier.issn2352-4847
dc.identifier.scopus2-s2.0-105003308007
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.egyr.2025.04.034
dc.identifier.urihttps://hdl.handle.net/20.500.12604/8645
dc.identifier.volume13
dc.identifier.wosqualityQ2
dc.indekslendigikaynakScopus
dc.institutionauthorKaya, Gevher Nesibe
dc.language.isoen
dc.publisherElsevier BV
dc.relation.ispartofEnergy Reports
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectBuilding design
dc.subjectEnergy efficiency
dc.subjectLife cycle process
dc.subjectMachine learning
dc.subjectOptimization algorithm
dc.subjectSystematic analysis
dc.titleEvaluation of machine learning applications in building life cycle processes for energy efficiency: A systematic review
dc.typejournal-article
oaire.citation.volume13

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