Akıllı Binalarda Yapay Zekâ Destekli Enerji Yönetimi: Bir İnceleme

Year 2023, Volume: 5 Issue: 1, 39 - 63, 16.07.2023

Mertkan Sinoplu , Eyüp Burak Ceyhan

https://doi.org/10.55440/umufed.1291719

Abstract

Günümüzde küresel iklim değişikliği sebebiyle enerji yönetim sistemlerine olan ihtiyaç giderek artmaktadır. Bu çalışmada akıllı binalarda yapay zekâ destekli enerji yönetimi ile ilgili literatürdeki çalışmalar incelenmiştir. İncelemeye alınan çalışmaların araştırılmasında YÖKTEZ, IEEE, Web of Science, Science Direct ve ProQuest veri tabanlarından yararlanılmıştır. Bu veri tabanlarında önceden belirlenen anahtar kelimeler ile arama yapılıp, konu ile yakın içerikteki çalışmaların incelenmiştir. İncelemede çalışmaların amaçları ve içerikleri ile ilgili bilgi verilmiştir. Ayrıca ilgili çalışmaların daha rahat analiz edilmesi için çalışmaların adını, türünü, gerçekleştirildiği ülkeyi, konusunu, veri toplama aracını, örneklem büyüklüğünü ve sınırlılıklarını içerecek şekilde literatürdeki 32 çalışmanın yer aldığı bir tablo oluşturulup, inceleme için bu tablodan yararlanılmıştır. İncelenen çalışmalar içeriklerine ve sonuçlarına göre yorumlanıp, ileride yapılabilecek çalışmalar hakkında öneriler sunulmuştur. Çalışma kapsamında yapılan inceleme sonucunda, akıllı binalarda enerji sistemlerinin büyük bir çoğunluğunun sadece elektrik enerjisinin yönetimi üzerinde durduğu görülmüştür. Buna ek olarak araştırma kapsamına dâhil edilen çalışmaların büyük bir çoğunluğunun Hindistan’da gerçekleştirildiği, yapılan inceleme sonucunda görülmüştür.

Keywords

Enerji Yönetimi, Akıllı Sistemler, Akıllı Bina, Yapay Zekâ

Artificial Intelligence Assisted Energy Management in Smart Buildings: A Review

Abstract

Today, the need for energy management systems is increasing due to global climate change. In this study, studies on artificial intelligence supported energy management in smart buildings in the literature were examined. YÖKTEZ, IEEE, Web of Science, Science Direct and ProQuest databases were used to search for the studies included in the review. In these databases, a search was made with predetermined keywords and 32 studies related to the subject were examined. In the review, information was given about the aims and contents of the studies. In addition, a table was created to include the name, country, type, subject of the studies, data collection tool, sample size and limitations of the study, and this table was used for easier analysis. Different interpretations were made according to the content and results of the studies examined, and suggestions were made about the features of the study that could be improved. As a result of the examination made within the scope of the study, it has been seen that the majority of energy systems in smart buildings only focus on the management of electrical energy. In addition, it was seen as a result of the examination that the majority of the studies included in the scope of the research were carried out in India.

Keywords

Energy Management, Smart Systems, Smart Building, Artificial Intelligence

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