Solar radiation prediction using Artificial Neural Network techniques: A review
AK Yadav, SS Chandel - Renewable and sustainable energy reviews, 2014 - Elsevier
Solar radiation data plays an important role in solar energy research. These data are not
available for location of interest due to absence of a meteorological station. Therefore, the …
available for location of interest due to absence of a meteorological station. Therefore, the …
A review on ANN based model for solar radiation and wind speed prediction with real-time data
Wind speed and solar radiation are the fundamental inputs used as a renewable energy
source. Both parameters are highly non-linear and environmental dependent. Hence …
source. Both parameters are highly non-linear and environmental dependent. Hence …
The artificial neural network for solar radiation prediction and designing solar systems: a systematic literature review
Solar energy generated by sunlight has a non-schedulable nature due to the stochastic
environment of meteorological conditions. Hence, power system control and the energy …
environment of meteorological conditions. Hence, power system control and the energy …
Selection of most relevant input parameters using WEKA for artificial neural network based solar radiation prediction models
The prediction of solar radiation is important for several applications in renewable energy
research. Solar radiation is predicted by a number of solar radiation models both …
research. Solar radiation is predicted by a number of solar radiation models both …
A novel combinatorial hybrid SFL–PS algorithm based neural network with perturb and observe for the MPPT controller of a hybrid PV-storage system
In recent years, various control methods have been proposed for maximum power point
tracking (MPPT) of photovoltaic (PV) power plants. Different MPPT methods for PV systems …
tracking (MPPT) of photovoltaic (PV) power plants. Different MPPT methods for PV systems …
Mathematical and neural network modeling for predicting and analyzing of nanofluid-nano PCM photovoltaic thermal systems performance
This paper aims to enhance the power production performance of the PV/T based on three
cooling models using nanofluid, SiC-water and nano-PCM. The effect of solar irradiance and …
cooling models using nanofluid, SiC-water and nano-PCM. The effect of solar irradiance and …
Comparison of regression and artificial neural network models for estimation of global solar radiations
R Kumar, RK Aggarwal, JD Sharma - Renewable and Sustainable Energy …, 2015 - Elsevier
Various models based on regression as well as artificial neural networks have been studied
for the estimation of monthly average global solar radiations. Most of the regression models …
for the estimation of monthly average global solar radiations. Most of the regression models …
[PDF][PDF] Using the artificial neural networks for prediction and validating solar radiation
ZE Mohamed - Journal of the Egyptian Mathematical Society, 2019 - joems.journals.ekb.eg
The main objective of this paper is to employ the artificial neural network (ANN) models for
validating and predicting global solar radiation (GSR) on a horizontalsurface of three …
validating and predicting global solar radiation (GSR) on a horizontalsurface of three …
The optimized artificial neural network model with Levenberg–Marquardt algorithm for global solar radiation estimation in Eastern Mediterranean Region of Turkey
An accurate knowledge on global solar radiation is particularly required for proper
placement and design of solar energy conversion systems. While the meteorological data …
placement and design of solar energy conversion systems. While the meteorological data …
Sky image-based solar irradiance prediction methodologies using artificial neural networks
In order to decelerate global warming, it is important to promote renewable energy
technologies. Solar energy, which is one of the most promising renewable energy sources …
technologies. Solar energy, which is one of the most promising renewable energy sources …