Predicting surface solar radiation using a hybrid radiative Transfer–Machine learning model
Solar radiation is one of the cleanest sources of renewable energy, and it affects the carbon
sink functions of terrestrial ecosystems. Although efforts have been made to establish solar …
sink functions of terrestrial ecosystems. Although efforts have been made to establish solar …
A state of art review on estimation of solar radiation with various models
Solar radiation is free, and very useful input for most sectors such as heat, health, tourism,
agriculture, and energy production, and it plays a critical role in the sustainability of …
agriculture, and energy production, and it plays a critical role in the sustainability of …
Improving the accuracy of daily solar radiation prediction by climatic data using an efficient hybrid deep learning model: Long short-term memory (LSTM) network …
Accurate daily solar radiation prediction is a crucial task for the management and generation
of solar energy as one of the alternatives to fossil fuels. In this study, the prediction accuracy …
of solar energy as one of the alternatives to fossil fuels. In this study, the prediction accuracy …
Efficient daily solar radiation prediction with deep learning 4-phase convolutional neural network, dual stage stacked regression and support vector machine CNN …
Optimal utilisation of the sun's freely available energy to generate electricity requires efficient
predictive models of global solar radiation (GSR). These are necessary to provide solar …
predictive models of global solar radiation (GSR). These are necessary to provide solar …
A novel machine learning approach for solar radiation estimation
Solar irradiation (Rs) is the electromagnetic radiation energy emitted by the Sun. It plays a
crucial role in sustaining life on Earth by providing light, heat, and energy. Furthermore, it …
crucial role in sustaining life on Earth by providing light, heat, and energy. Furthermore, it …
[HTML][HTML] Potential impacts of climate change on global solar radiation and PV output using the CMIP6 model in West Africa
In this study, six different PV power technology models from similar climatic environments in
West Africa were used to estimate the potential of PV generation and apply the model to …
West Africa were used to estimate the potential of PV generation and apply the model to …
Ensemble machine-learning models for accurate prediction of solar irradiation in Bangladesh
Improved irradiance forecasting ensures precise solar power generation forecasts, resulting
in smoother operation of the distribution grid. Empirical models are used to estimate …
in smoother operation of the distribution grid. Empirical models are used to estimate …
[HTML][HTML] Prediction of global solar radiation potential for sustainable and cleaner energy generation using improved Angstrom-Prescott and Gumbel probabilistic …
SC Nwokolo, SO Amadi, AU Obiwulu… - Cleaner Engineering …, 2022 - Elsevier
Predicting and improving global solar radiation models is important in Nigeria because,
most government meteorological stations are unable to continuously set-up or measure this …
most government meteorological stations are unable to continuously set-up or measure this …
Two-stage stochastic optimization for operating a renewable-based microgrid
Carbon emissions are increasing as a result of urbanization and population growth all over
the world. Scientists agree that these emissions are one of the main causes of climate …
the world. Scientists agree that these emissions are one of the main causes of climate …
[HTML][HTML] Hybridization of statistical machine learning and numerical models for improving beam, diffuse and global solar radiation prediction
SC Nwokolo, AU Obiwulu, JC Ogbulezie… - Cleaner Engineering and …, 2022 - Elsevier
Prediction, separation, and improvement of beam (Hb), diffuse (Hd), and global solar
radiation (H) using an efficient Gumbel probabilistic model (GP) and hybridization of GP with …
radiation (H) using an efficient Gumbel probabilistic model (GP) and hybridization of GP with …