Application of artificial intelligence for prediction, optimization, and control of thermal energy storage systems
Energy storage is one of the core concepts demonstrated incredibly remarkable
effectiveness in various energy systems. Energy storage systems are vital for maximizing the …
effectiveness in various energy systems. Energy storage systems are vital for maximizing the …
A review of photovoltaic thermal (PVT) technology for residential applications: performance indicators, progress, and opportunities
SH Bandaru, V Becerra, S Khanna, J Radulovic… - Energies, 2021 - mdpi.com
Solar energy has been one of the accessible and affordable renewable energy technologies
for the last few decades. Photovoltaics and solar thermal collectors are mature technologies …
for the last few decades. Photovoltaics and solar thermal collectors are mature technologies …
Low-cost bilayered structure for improving the performance of solar stills: Performance/cost analysis and water yield prediction using machine learning
This paper aims to enhance the performance of conventional solar still (CSS) using a low
cost heat localization bilayered structure (HLBS). The HLBS consists of a bottom supporting …
cost heat localization bilayered structure (HLBS). The HLBS consists of a bottom supporting …
A new random vector functional link integrated with mayfly optimization algorithm for performance prediction of solar photovoltaic thermal collector combined with …
Artificial intelligence techniques have become powerful alternatives to conventional
modeling techniques in different engineering disciplines. They have been applied for …
modeling techniques in different engineering disciplines. They have been applied for …
[HTML][HTML] Robust integral backstepping control microgrid connected photovoltaic System with battery energy storage through multi-functional voltage source inverter …
N Debdouche, L Zarour, H Benbouhenni, F Mehazzem… - Energy Reports, 2023 - Elsevier
This paper proposes a robust control based on the integral backstepping control (IBC) for
power quality enhancement of micro-grid-connected photovoltaic (PV) system with battery …
power quality enhancement of micro-grid-connected photovoltaic (PV) system with battery …
A systematic review of grid-connected photovoltaic and photovoltaic/thermal systems: Benefits, challenges and mitigation
Solar energy is the powerhouse where all potential and classified renewable energies lug
their sources. The energy transformation from the Sun to electricity requires an adequate …
their sources. The energy transformation from the Sun to electricity requires an adequate …
Energy, exergy, economic, environmental (4E) approach to assessing the performance of a photovoltaic-thermal system using a novel ternary nanofluid
Ternary nanofluids are a new type of fluids with three nanoparticles dispersed in a base
fluid, and they have been experimentally shown to have improved thermophysical and …
fluid, and they have been experimentally shown to have improved thermophysical and …
Employing genetic programming to find the best correlation to predict temperature of solar photovoltaic panels
A Sohani, H Sayyaadi - Energy Conversion and Management, 2020 - Elsevier
The best function form to predict the panel's temperature (T panel) is found for a product
family of polycrystalline solar panels, with the nominal capacities of 20, 30, 40, 50, 60, 80 …
family of polycrystalline solar panels, with the nominal capacities of 20, 30, 40, 50, 60, 80 …
Augmentation and prediction of wick solar still productivity using artificial neural network integrated with tree–seed algorithm
This study introduces a modified artificial neural network (ANN) model based on the tree–
seed algorithm (ANN-TSA) to predict the freshwater yield of conventional and developed …
seed algorithm (ANN-TSA) to predict the freshwater yield of conventional and developed …
Production capacity assessment and carbon reduction of industrial processes based on novel radial basis function integrating multi-dimensional scaling
The high energy consuming and carbon emission of complex industrial processes has
become a huge challenge all over the world. Therefore, a novel production capacity …
become a huge challenge all over the world. Therefore, a novel production capacity …