Separation models, which are used to split beam and diffuse irradiance components from
the global one, constitute the largest class of radiation models. Over the years, there have …

The use of intelligent algorithms for global solar prediction is an ideal tool for research
focused on the use of solar energy. Forecasting solar radiation supports different …

Accurate estimation of reference evapotranspiration (ET 0) is critical for water resource
management and irrigation scheduling. This study evaluated the potential of a new machine …

In this study, we attempt to anticipate annual rice production in Bangladesh (1961–2020)
using both the Autoregressive Integrated Moving Average (ARIMA) and the eXtreme …

This article provides the first comprehensive study to explore the potential of tree-based
ensemble methods in modeling solar radiation. Gradient boosting, bagging and random …

Epilepsy is a common nervous system disease that is characterized by recurrent seizures.
An electroencephalogram (EEG) records neural activity, and it is commonly used for the …

A novel combined multi-task learning and Gaussian process regression (MTGPR) model is
proposed to predict the multi-time scale (daily and monthly mean daily) and multi …

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 …

Abstract Solcast (https://solcast. com/) is a global solar forecasting and historical solar
irradiance data company. Their datasets are important to the scientific community as …

The exponential growth of solar power has been witnessed in the past decade and is
projected by the ambitious policy targets. Nevertheless, the proliferation of solar energy …