Now showing items 1-4 of 4
Performance indices of soft computing models to predict the heat load of buildings in terms of architectural indicators
(Yıldız Technical University, 2017-08)
This study estimates the heat load of buildings in Izmir/Turkey by three soft computing (SC) methods; Artificial Neural Networks (ANNs), Fuzzy Logic (FL) and Adaptive Neuro-based Fuzzy Inference System (ANFIS) and compares ...
On the relation between architectural considerations and heating energy performance of Turkish residential buildings in Izmir
By considering the energy efficiency legislations among the European Union, Turkey is responsible to provide regulations to comply for the latest European Energy Performance of Buildings Directive 2010/31/EC. New legislation ...
Comparative study of a building energy performance software (KEP-IYTE-ESS) and ANN-based building heat load estimation
The several parameters affect the heat load of a building; geometry, construction, layout, climate and the users. These parameters are complex and interrelated. Comprehensive models are needed to understand relationships ...
The impact of planimetric configuration on structurally damaged residential buildings
(Taylor & Francis, 2009-03)
This study was conducted to determine a significant relationship between planimetric configuration and vulnerability of hazardous buildings located in seismic zones by developing design and construction efficiency indicators. ...