A comprehensive review of a building-integrated photovoltaic system (BIPV)
L Chen, M Baghoolizadeh, A Basem, SH Ali… - … Communications in Heat …, 2024 - Elsevier
Beginning in the early 1990s, photovoltaic (PV) technologies were integrated with building
envelopes to reduce peak electrical load and fulfill building energy demands. The PV …
envelopes to reduce peak electrical load and fulfill building energy demands. The PV …
[HTML][HTML] Fuzzy logic type-2 intelligent moisture control system
M Woźniak, J Szczotka, A Sikora, A Zielonka - Expert Systems with …, 2024 - Elsevier
In this article we present a model of adjustable moisture control for historical buildings.
Proposed system is developed in a form of flexible IoT infrastructure in which a complex …
Proposed system is developed in a form of flexible IoT infrastructure in which a complex …
Using different machine learning algorithms to predict the rheological behavior of oil SAE40-based nano-lubricant in the presence of MWCNT and MgO nanoparticles
M Baghoolizadeh, N Nasajpour-Esfahani… - Tribology …, 2023 - Elsevier
In the present study, using 15 machine learning algorithms (MLP, SVM, RBF, ELM, ANFIS, D-
Tree, MLR, MPR, BPNN, BN, LM, GD, BFGS, XGB and GMDH), the rheological behavior of …
Tree, MLR, MPR, BPNN, BN, LM, GD, BFGS, XGB and GMDH), the rheological behavior of …
Multi-objective optimization of rheological behavior of nanofluids containing CuO nanoparticles by NSGA II, MOPSO, and MOGWO evolutionary algorithms and Group …
R Rostamzadeh-Renani, DJ Jasim… - Materials Today …, 2024 - Elsevier
In this article, the ability of GMDH artificial neural networks (ANNs) to predict the rheological
behavior (RB) of nanofluids (NFs) containing CuO NPs is studied. ANNs are a powerful …
behavior (RB) of nanofluids (NFs) containing CuO NPs is studied. ANNs are a powerful …
Integrating machine learning and parametric design for energy-efficient building cladding systems in arid climates: Sport hall in Kerman
Climate change, driven by fossil fuel dependence, presents a significant challenge for the
construction industry, particularly in energy-intensive regions like arid climates. This …
construction industry, particularly in energy-intensive regions like arid climates. This …
Using of artificial neural networks and different evolutionary algorithms to predict the viscosity and thermal conductivity of silica-alumina-MWCN/water nanofluid
This study predicts the parameters such as viscosity and thermal conductivity in silica-
alumina-MWCN/water nanofluid using the artificial intelligence method and using design …
alumina-MWCN/water nanofluid using the artificial intelligence method and using design …
New robust multi-criteria decision-making framework for thermal insulation of buildings under conflicting stakeholder interests
D D'Agostino, F De Falco, F Minelli, F Minichiello - Applied Energy, 2024 - Elsevier
The choice of thermal insulation technology for existing building retrofit can be a complex
multi-criteria decision-making (MCDM) problem characterized by multiple stakeholders with …
multi-criteria decision-making (MCDM) problem characterized by multiple stakeholders with …
[HTML][HTML] A multi-objective and CFD based optimization of roof-flap geometry and position for simultaneous drag and lift reduction
M Rostamzadeh-Renani, M Baghoolizadeh… - Propulsion and Power …, 2024 - Elsevier
As the transport sector is responsible for the consumption of a vast proportion of the oil
produced, it is mandatory to research feasible solutions to tackle this issue. The application …
produced, it is mandatory to research feasible solutions to tackle this issue. The application …
[HTML][HTML] Evaluation of ventilation and indoor air quality inside bedrooms of an elderly care centre
HW Wu, P Kumar, SJ Cao - Energy and Buildings, 2024 - Elsevier
Ventilation and indoor air quality are important factors that affect the health of the elderly.
The purpose of this study was to find effective ventilation design measures for improving …
The purpose of this study was to find effective ventilation design measures for improving …
[HTML][HTML] Multi-objective optimization of daylight illuminance indicators and energy usage intensity for office space in Tehran by genetic algorithm
One of the important categories in office spaces is the control of daylight and energy
consumption. By controlling natural light, it is possible to provide uniform light in the entire …
consumption. By controlling natural light, it is possible to provide uniform light in the entire …