Multi-objective optimization of Venetian blinds in office buildings to reduce electricity consumption and improve visual and thermal comfort by NSGA-II
M Baghoolizadeh, M Rostamzadeh-Renani… - Energy and …, 2023 - Elsevier
Because the building sector has become a huge energy consumer, providing useful
approaches can help tackle this important issue. Windows are an important component of a …
approaches can help tackle this important issue. Windows are an important component of a …
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 …
A prediction model for CO2 concentration and multi-objective optimization of CO2 concentration and annual electricity consumption cost in residential buildings using …
M Baghoolizadeh, M Rostamzadeh-Renani… - Journal of Cleaner …, 2022 - Elsevier
Environmental pollutants in the air have long been a great threat to the health and life of
human society and the volume of these pollutants is rapidly increasing. Human beings …
human society and the volume of these pollutants is rapidly increasing. Human beings …
Multi-objective optimization of energy and thermal comfort using insulation and phase change materials in residential buildings
MB Hamooleh, A Torabi, M Baghoolizadeh - Building and Environment, 2024 - Elsevier
Recently, due to the increasing demand for energy and the identification of fossil fuels and
their pollution, the focus on renewable energy is increasing day by day, so the use of …
their pollution, the focus on renewable energy is increasing day by day, so the use of …
Improving CO2 concentration, CO2 pollutant and occupants' thermal comfort in a residential building using genetic algorithm optimization
M Baghoolizadeh, M Rostamzadeh-Renani… - Energy and …, 2023 - Elsevier
Environmental air pollutants pose a serious threat to human society's health and way of life,
and their amount is rising quickly. Given that we spend the majority of our time indoors, good …
and their amount is rising quickly. Given that we spend the majority of our time indoors, good …
Optimization of energy-saving retrofit solutions for existing buildings: A multidimensional data fusion approach
Older buildings often exhibit multiple problems, such as high energy consumption, high
carbon emissions, and outdated performance. To achieve optimal decision-making for the …
carbon emissions, and outdated performance. To achieve optimal decision-making for the …
Optimization of annual electricity consumption costs and the costs of insulation and phase change materials in the residential building using artificial neural network …
M Baghoolizadeh, SAHH Dehkordi… - Journal of Energy …, 2023 - Elsevier
Overuse of energy resources (especially in residential building) has been one of the most
important issues in recent decades. Researchers have often focused on the use of PCM …
important issues in recent decades. Researchers have often focused on the use of PCM …
Utilizing the Fanger thermal comfort model to evaluate the thermal, energy, economic, and environmental performance of PCM-integrated buildings in various climate …
This research investigated the thermal and energy performance of a PCM-integrated Mid-
rise Apartment building in 15 climatic zones and 60 cities using EnergyPlus software. A …
rise Apartment building in 15 climatic zones and 60 cities using EnergyPlus software. A …
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 …
The effect of photovoltaic shading with ideal tilt angle on the energy cost optimization of a building model in European cities
Integrated building photovoltaic panels (BIPV) can be used to receive solar energy. BIPVs
are divided into different groups, PV-sunshade (PVSDS) type of which is targeted in present …
are divided into different groups, PV-sunshade (PVSDS) type of which is targeted in present …