This research introduces a microclimate solar cooling system to enhance human thermal
comfort and reduce electrical grid energy-based consumption. A novel solar photovoltaic …

In this study, the performance of a solar thermoelectric air-conditioning system (STEACS) is
predicted using advanced optimized artificial intelligence models. A STEACS powered by …

Artificial intelligence techniques have become powerful alternatives to conventional
modeling techniques in different engineering disciplines. They have been applied for …

In this study, machine learning methods of artificial neural networks (ANNs), least squares
support vector machines (LSSVM), and neuro-fuzzy are used for advancing prediction …

Solar cooling technologies can play a vital role in renewable energy applications
development. Thermoelectric systems have shown promising advantages over traditional …

The presented study examined the multigenerational power, cooling, heating, and hydrogen
systems in coastal areas using thermodynamic and economic modeling and multiobjective …

Renewable energies, specifically solar energy has been employed in numerous
applications while being CO 2 emission free energy in comparison with fossil fuel resources …

The main motivation of this study is to evaluate and compare the efficacy of three
computational intelligence approaches, namely artificial neural network (ANN), genetic …

Abstract Photovoltaic/thermal (PV/T) are high-tech devices to transform solar radiation into
electrical and thermal energies. Nano-coolants are recently considered to enhance the …

In this work, the artificial neural network model was developed to predict the energy
performance of a photovoltaic-thermal evaporator used in solar assisted heat pumps. The …