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Ensemble of various neural networks for prediction of heating energy consumption
(Elsevier Science Sa, Lausanne, 2015)
For prediction of heating energy consumption-of a university campus, various artificial neural networks are used: feed forward backpropagation neural network (FFNN), radial basis function network (RBFN) and adaptive ...
Assessment of energy and environmental performance of office building models: A case study
(Elsevier Science Sa, Lausanne, 2016)
The purpose of this paper is to present a case of an office building and show how different concepts of envelope construction affect the energy efficiency of building. Assessment of energy performances of different scenarios ...
Thermomechanical behavior of bio-fiber composite thermal insulation panels
(Elsevier Science Sa, Lausanne, 2020)
The thermomechanical properties of the bio-fiber composite, as material for the production of thermal insulation panels, were evaluated. The observed mixtures were composed of Miscanthus x giganteus bio-fibers, mineral ...
Economic optimization of pipe diameter for complete turbulence
(Elsevier Science Sa, Lausanne, 2012)
Paper deals with the model for economic optimization of pipe diameter for complete turbulence. The proposed new model for economic optimization of pipe diameter is based on simple economic balance approach. The model covers ...
Optimization of energy consumption in buildings with hydronic heating systems considering thermal comfort by use of computer-based tools
(Elsevier Science Sa, Lausanne, 2007)
The paper deals with an optimization of parameters, which influence the energy and investment cost as well as the thermal comfort. The parameters considered in this study are: the insulation thickness of the building ...