Modeling of solar energy systems using artificial neural network: A comprehensive review
The development of different solar energy (SE) systems becomes one of the most important
solutions to the problem of the rapid increase in energy demand. This may be achieved by …
solutions to the problem of the rapid increase in energy demand. This may be achieved by …
Advances in solar photovoltaic tracking systems: A review
Solar photovoltaic technology is one of the most important resources of renewable energy.
However, the current solar photovoltaic systems have significant drawbacks, such as high …
However, the current solar photovoltaic systems have significant drawbacks, such as high …
[HTML][HTML] Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees
Predictive analytics play an important role in the management of decentralised energy
systems. Prediction models of uncontrolled variables (eg, renewable energy sources …
systems. Prediction models of uncontrolled variables (eg, renewable energy sources …
Using of heat thermal storage of PCM and solar energy for distributed clean building heating: A multi-level scale-up research
L Wang, L Guo, J Ren, X Kong - Applied Energy, 2022 - Elsevier
Solar energy coupled with electric heat storage is a promising energy saving technology for
distributed building heating. Energy saving performance of this technology used in buildings …
distributed building heating. Energy saving performance of this technology used in buildings …
Application of ANN technique to predict the performance of solar collector systems-A review
HK Ghritlahre, RK Prasad - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
The solar collector is the heart of any solar energy collection system designed for operation
in the low to medium temperature ranges. So, an efficient design of solar collector system …
in the low to medium temperature ranges. So, an efficient design of solar collector system …
Applications of artificial neural networks for thermal analysis of heat exchangers–a review
Artificial neural networks (ANN) have been widely used for thermal analysis of heat
exchangers during the last two decades. In this paper, the applications of ANN for thermal …
exchangers during the last two decades. In this paper, the applications of ANN for thermal …
An approach towards building robust neural networks models using multilayer perceptron through experimentation on different photovoltaic thermal systems
The study is aimed at training an artificial neural network to determine the specific Photo
voltaic thermal (PV/T) system that will function optimally in a specific environmental situation …
voltaic thermal (PV/T) system that will function optimally in a specific environmental situation …
Exergetic performance prediction of solar air heater using MLP, GRNN and RBF models of artificial neural network technique
HK Ghritlahre, RK Prasad - Journal of environmental management, 2018 - Elsevier
In the present study three different types of neural models: multi-layer perceptron (MLP),
generalized regression neural network (GRNN) and radial basis function (RBF) has been …
generalized regression neural network (GRNN) and radial basis function (RBF) has been …
Concentrating photovoltaic thermal (CPVT) collectors and systems: Theory, performance assessment and applications
Concentrating photovoltaic thermal (CPVT) collectors and systems are very popular in both
domestic and industrial solar energy applications. CPVT collectors provides incomparably …
domestic and industrial solar energy applications. CPVT collectors provides incomparably …
Concentrated photovoltaic thermal (CPVT) solar collector systems: Part I–Fundamentals, design considerations and current technologies
Concentrated photovoltaic thermal (CPVT) solar collectors have been gaining ever-
increasing attention from the scientific community and industrial developers due to their …
increasing attention from the scientific community and industrial developers due to their …