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 …
Evaluation and development of empirical models for estimating daily and monthly mean daily diffuse horizontal solar radiation for different climatic regions of China
The diffuse solar radiation is required for estimating global solar radiation on inclined
surface or for estimating beam solar radiation for concentrating photovoltaic applications. In …
surface or for estimating beam solar radiation for concentrating photovoltaic applications. In …
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 …
Predicting solar radiation in the urban area: A data-driven analysis for sustainable city planning using artificial neural networking
Predicting solar radiation in cities using the Artificial Neural Network model (ANN) is a
pioneering step in transforming future-oriented city planning using solar energy. This …
pioneering step in transforming future-oriented city planning using solar energy. This …
A key review on present status and future directions of solar energy studies and applications in Saudi Arabia
A Hepbasli, Z Alsuhaibani - Renewable and sustainable energy reviews, 2011 - Elsevier
Renewable energy is accepted as a key source for the future, not only for Saudi Arabia, but
also for the world. Saudi Arabia has abundant potential for exploiting solar energy, which is …
also for the world. Saudi Arabia has abundant potential for exploiting solar energy, which is …
A review on the drawbacks of renewable energy as a promising energy source of the future
A Azarpour, S Suhaimi, G Zahedi… - Arabian Journal for …, 2013 - Springer
A common misconception of renewable energy (RE) is that it could serve as a holistic
solution to the problems associated with the disreputable but yet reliable fossil fuel and …
solution to the problems associated with the disreputable but yet reliable fossil fuel and …
Power generation from medium temperature geothermal resources: ANN-based optimization of Kalina cycle system-34
O Arslan - Energy, 2011 - Elsevier
Recent technical developments have made it possible to generate electricity from
geothermal resources of low and medium enthalpy. One of these technologies is the Kalina …
geothermal resources of low and medium enthalpy. One of these technologies is the Kalina …
A comparative evaluation of artificial neural network and sunshine based models in prediction of daily global solar radiation of Lalibela, Ethiopia
TA Woldegiyorgis, A Admasu, NE Benti… - Cogent …, 2022 - Taylor & Francis
Due to a lack of solar radiation measurement instruments in various regions across the
world, particularly in Ethiopia, many empirical models have been developed to estimate …
world, particularly in Ethiopia, many empirical models have been developed to estimate …
ANN based optimization of supercritical ORC-Binary geothermal power plant: Simav case study
Artificial neural network is a new tool, which works rapidly for decision making and modeling
of the processes within the expertise. Therefore, ANN can be a solution for the design and …
of the processes within the expertise. Therefore, ANN can be a solution for the design and …
Estimation of solar radiation with consideration of terrestrial losses at a selected location—A review
The United Nations has set an ambitious goal to achieve net zero carbon emissions by
2050. This objective requires shifting towards green and renewable energy sources instead …
2050. This objective requires shifting towards green and renewable energy sources instead …