Wyszukiwarka
Evaluation of machine learning applications in building life cycle processes for energy efficiency: A systematic review
Abstrakt
In 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.
Cytowania
Autorzy (4)
-
Gevher Nesibe Kaya
-
Figen Beyhan
-
Zeynep Yeşim İlerisoy PhD
Cytuj jako
Pełna treść
- Wersja publikacji
- Accepted albo Published Version
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1016/j.egyr.2025.04.034
- Licencja
-
otwiera się w nowej karcie
Słowa kluczowe
Informacje szczegółowe
- Kategoria:
- Publikacja w czasopiśmie
- Typ:
- artykuły w czasopismach
- Opublikowano w:
-
Energy Reports
nr 13,
strony 4900 - 4916,
ISSN: 2352-4847 - Język:
- angielski
- Rok wydania:
- 2025
- Opis bibliograficzny:
- Kaya G. N., Beyhan F., İlerisoy Z. Y., Cudzik J.: Evaluation of machine learning applications in building life cycle processes for energy efficiency: A systematic review// Energy Reports -Vol. 13, (2025), s.4900-4916
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1016/j.egyr.2025.04.034
- Źródła finansowania:
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 0 razy
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