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 …

Evaluation and development of empirical models for estimating daily and monthly mean daily diffuse horizontal solar radiation for different climatic regions of China

J Fan, L Wu, F Zhang, H Cai, X Ma, H Bai - Renewable and Sustainable …, 2019 - Elsevier
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 …

Artificial neural network based daily local forecasting for global solar radiation

B Amrouche, X Le Pivert - Applied energy, 2014 - Elsevier
When a part of the power is generated by grid connected photovoltaic installations, an
effective global solar irradiation (GSI) forecasting tool becomes a must to ensure the quality …

New temperature-based models for predicting global solar radiation

GE Hassan, ME Youssef, ZE Mohamed, MA Ali… - Applied energy, 2016 - Elsevier
This study presents new ambient-temperature-based models for estimating global solar
radiation as alternatives to the widely used sunshine-based models owing to the …

The spatial distribution of China's solar energy resources and the optimum tilt angle and power generation potential of PV systems

J Jing, Y Zhou, L Wang, Y Liu, D Wang - Energy Conversion and …, 2023 - Elsevier
This study aims at filling the gaps and completing the missing global solar radiation and
diffuse solar radiation data considering the limited radiation data of 85 meteorological …

Predicting daily diffuse horizontal solar radiation in various climatic regions of China using support vector machine and tree-based soft computing models with local …

J Fan, X Wang, F Zhang, X Ma, L Wu - Journal of Cleaner Production, 2020 - Elsevier
Abstract Knowledge of diffuse horizontal solar radiation (R d) on horizontal surfaces is a
prerequisite for the design and optimization of active and passive solar energy systems such …

Comparison of support vector machine and copula-based nonlinear quantile regression for estimating the daily diffuse solar radiation: A case study in China

Y Liu, Y Zhou, Y Chen, D Wang, Y Wang, Y Zhu - Renewable Energy, 2020 - Elsevier
In this paper, three kinds of models, including support vector machine-firefly algorithm (SVM-
FFA), copula-base nonlinear quantile regression (CNQR) and empirical models were …

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 …

Prediction of daily diffuse solar radiation using artificial neural networks

X Xue - International journal of hydrogen energy, 2017 - Elsevier
This study presents two optimization techniques, genetic algorithm (GA) and particle swarm
optimization (PSO), to improve the efficiency and generalization ability of back propagation …

Comparison of daily diffuse radiation models in regions of China without solar radiation measurement

L Yang, Q Cao, Y Yu, Y Liu - Energy, 2020 - Elsevier
Considering diffuse solar radiation is essential for thermal environment construction and
solar energy applications. Due to lack of solar radiation measurement in China, developing …