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Systematic review of deep learning and machine learning for building energy
The building energy (BE) management plays an essential role in urban sustainability and
smart cities. Recently, the novel data science and data-driven technologies have shown …
smart cities. Recently, the novel data science and data-driven technologies have shown …
[HTML][HTML] Application of Nanofluids in CO2 Absorption: A Review
The continuous release of CO2 into the atmosphere as a major cause of increasing global
warming has become a growing concern for the environment. Accordingly, CO2 absorption …
warming has become a growing concern for the environment. Accordingly, CO2 absorption …
[HTML][HTML] Electrical efficiency of the photovoltaic/thermal collectors cooled by nanofluids: Machine learning simulation and optimization by evolutionary algorithm
Y Cao, E Kamrani, S Mirzaei, A Khandakar, B Vaferi - Energy Reports, 2022 - Elsevier
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 …
electrical and thermal energies. Nano-coolants are recently considered to enhance the …
Numerical investigation of carbon dioxide capture using nanofluids via machine learning
L Feng, J Zhu, Z Jiang - Journal of Cleaner Production, 2024 - Elsevier
Using nanofluids to capture CO 2 is a promising method of reducing emissions. The goal of
this study was to develop models that could forecast how well water-based nanofluids would …
this study was to develop models that could forecast how well water-based nanofluids would …
Optimizing the thermal performance of the thermosyphon heat pipe for energy saving with graphene oxide nanofluid
A thermosyphon heat pipe (THP) involves a vacuum tube with a specific quantity of liquid.
Due to its simplicity of design and structure, THP has many applications in heat recovery and …
Due to its simplicity of design and structure, THP has many applications in heat recovery and …
A novel machine learning-based framework for the water quality parameters prediction using hybrid long short-term memory and locally weighted scatterplot …
Water quality prediction is crucial for effective river stream management. Dissolved oxygen,
conductivity and chemical oxygen demand are vital chemical parameters for water quality …
conductivity and chemical oxygen demand are vital chemical parameters for water quality …
Potential application of metal-organic frameworks (MOFs) for hydrogen storage: Simulation by artificial intelligent techniques
Metal-organic frameworks are a new class of materials for hydrogen adsorption/storage
applications. The hydrogen storage capacity of this structure is typically related to pressure …
applications. The hydrogen storage capacity of this structure is typically related to pressure …
[HTML][HTML] A TLBO-Tuned neural processor for predicting heating load in residential buildings
Recent studies have witnessed remarkable merits of metaheuristic algorithms in
optimization problems. Due to the significance of the early analysis of the thermal load in …
optimization problems. Due to the significance of the early analysis of the thermal load in …
Synthesis, characterization, conductivity, and gas‐sensing performance of copolymer nanocomposites based on copper alumina and poly(aniline‐co‐pyrrole)
A series of copolymer nanocomposites based on poly (aniline‐co‐pyrrole)(PANI‐co‐PPy)
with different contents of copper alumina (Cu‐Al2O3) nanoparticles were synthesized by …
with different contents of copper alumina (Cu‐Al2O3) nanoparticles were synthesized by …
Thermal, optical and temperature-dependent electrical properties of poly(aniline-co-pyrrole)/copper alumina nanocomposites for optoelectronic devices
The article deals with the investigation of structural, thermal and temperature-dependent
alternating current (AC) parameters of hetero-structures generated by the reinforcement of …
alternating current (AC) parameters of hetero-structures generated by the reinforcement of …