Soil is a vital resource for feeding the burgeoning global population, and it is also essential
for realizing most of the 'United Nations Sustainable Development Goals (SDGs)'. For …

Global solar radiation information is the basis for many solar energy utilizations as well as
for economic and environmental considerations. However, because solar-radiation …

Accurate and reliable solar radiation forecasting is of great significance for the management
and utilization of solar energy. This study proposes a deep learning model based on Bi …

With the world-wide deployment of solar energy for a sustainable and renewable future, the
stochastic and volatile nature of solar power pose significant challenges to the reliable …

This paper designs a hybridized deep learning framework that integrates the Convolutional
Neural Network for pattern recognition with the Long Short-Term Memory Network for half …

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 …

Wavelet transform (WT) is an advanced preprocessing technique, which has been widely
used in PM 10 prediction. However, this technique cannot provide stable performance due …

The prediction model's performance in view of the wavelet transform (WT) is affected
because the wavelet basis function (WBF) and its orders and layers are determined …

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 …

This study proposes a new hybrid deep learning (DL) model, the called CSVR, for Global
Solar Radiation (GSR) predictions by integrating Convolutional Neural Network (CNN) with …