dc.contributor.author | İstanbul Gelişim Üniversitesi İstanbul Gelişim Meslek Yüksekokulu | |
dc.date.accessioned | 2024-03-02T12:36:21Z | |
dc.date.available | 2024-03-02T12:36:21Z | |
dc.date.issued | 2024 | en_US |
dc.identifier.uri | https://hdl.handle.net/11363/7113 | |
dc.description.abstract | APPLICATION OF MACHINE LEARNING
TECHNIQUES IN GREEN BUILDINGS
Due to the climate crisis experienced worldwide in recent years, measures have started to be
taken one after another in the energy sector. Events such as changes in average
temperatures due to global warming, wastes generated during energy production, depletion of
natural resources have led to the necessity of establishing some standards in the energy
sector. For this reason, environmentally friendly systems have started to take place in the
foreground and as a result, the concept of green building has emerged. Green buildings are
also referred to as sustainable buildings, ecological buildings or energy efficient buildings.
These terms mean that buildings exhibit high performance throughout their lifetime and cause
little damage to the environment. The energy consumed by buildings currently accounts for
more than 40 per cent of total primary energy consumption worldwide. One of the most
important steps to optimise energy consumption in a building is energy analysis. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | İstanbul Gelişim Üniversitesi / Istanbul Gelisim University | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Istanbul Gelisim University | en_US |
dc.subject | Istanbul Gelisim Vocational School | en_US |
dc.subject | Bulletins | en_US |
dc.title | Istanbul Gelisim Vocational School: Monthly E-Bulletin (Vol. 4, Issue 2, February 2024) | en_US |
dc.type | other | en_US |
dc.department | İstanbul Gelişim Meslek Yüksekokulu | en_US |
dc.identifier.volume | 4 | en_US |
dc.identifier.issue | 2 | en_US |
dc.relation.publicationcategory | Diğer | en_US |