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 …
Tilt angle optimization to maximize incident solar radiation: A review
AK Yadav, SS Chandel - Renewable and sustainable energy reviews, 2013 - Elsevier
The tilt angle of a solar energy system is one of the important parameters for capturing
maximum solar radiation falling on the solar panels. This angle is site specific as it depends …
maximum solar radiation falling on the solar panels. This angle is site specific as it depends …
[PDF][PDF] Hybrid ensemble-learning approach for renewable energy resources evaluation in algeria
In order to achieve a highly accurate estimation of solar energy resource potential, a novel
hybrid ensemble-learning approach, hybridizing Advanced Squirrel-Search Optimization …
hybrid ensemble-learning approach, hybridizing Advanced Squirrel-Search Optimization …
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 …
Tilt and azimuth angles in solar energy applications–A review
This paper presents a review of tilt angle and azimuth angles in solar energy applications.
The paper involves an overview of design parameter, applications, simulations and …
The paper involves an overview of design parameter, applications, simulations and …
Solar radiation on inclined surfaces: Corrections and benchmarks
D Yang - Solar Energy, 2016 - Elsevier
Predicting solar radiation on inclined surfaces is a critical task for photovoltaic energy
systems design, simulation and performance evaluation. Many transposition models have …
systems design, simulation and performance evaluation. Many transposition models have …
Estimation of hourly global solar radiation using Multivariate Adaptive Regression Spline (MARS)–A case study of Hong Kong
DHW Li, W Chen, S Li, S Lou - Energy, 2019 - Elsevier
Solar energy is the most popular resource for power generation among the various available
renewable energy alternatives. Solar radiation data are important for solar systems and …
renewable energy alternatives. Solar radiation data are important for solar systems and …
Multi-timescale forecast of solar irradiance based on multi-task learning and echo state network approaches
Solar irradiance forecast is closely related with efficiency and reliability of renewable energy
systems. Multi-timescale irradiance forecast is a new and efficient way to simultaneously …
systems. Multi-timescale irradiance forecast is a new and efficient way to simultaneously …
Investigating the performance of support vector machine and artificial neural networks in predicting solar radiation on a tilted surface: Saudi Arabia case study
In this paper, investigation of the performance of a support vector machine (SVM) and
artificial neural networks (ANN) in predicting solar radiation on PV panel surfaces with …
artificial neural networks (ANN) in predicting solar radiation on PV panel surfaces with …
Estimating the diffuse solar radiation using a coupled support vector machine–wavelet transform model
S Shamshirband, K Mohammadi… - … and Sustainable Energy …, 2016 - Elsevier
Diffuse solar radiation is a fundamental parameter highly required in several solar energy
applications. Despite its significance, diffuse solar radiation is not measured in many …
applications. Despite its significance, diffuse solar radiation is not measured in many …