Purpose This study aims to investigate the literature related to the use of digital technologies
for promoting circular economy (CE) in the construction industry. Design/methodology …

Abstract–Prediction of energy consumption in buildings is the process that allows estimating
the amount of energy consumed in a specific future period. Typically, a predicted energy …

Since the cooling systems used in buildings in hot climates account for a significant portion
of the energy consumption, it is very important for both economy and environment to …

Nearly and net zero energy buildings have been strongly studied in the global north, with
generally a temperate climate, thus focusing on energy-efficiency measures for such …

Interval prediction is a promising method that can reveal the uncertainty of building load and
has been shown to effectively manage building energy systems. Previous studies focused …

Reducing the heat transfer temperature difference via reasonable indoor temperature
determination and air conditioning system design is a confirmed building energy-saving …

Reductions in energy consumption and greenhouse gas emissions are required globally.
Under this background, the Multilayer Perceptron machine-learning algorithm was used to …

Artificial intelligence (AI), which has many different usage areas, is an important technology
of the twenty-first century. Currently, AI is an evolving technology and aims to gain even …

Abstract Design optimization is an important engineering design topic. One of the important
issues in structural design is to minimize the cost. This study based on an engineering …

Özet İklim değişikliği, dünya genelinde sıcaklık artışına yol açmakta ve binaların enerji
tüketimlerini etkileyerek soğutma gereksinimlerini artırmaktadır. Nitekim yapılan araştırmalar …