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 …

In the last few years, methods falling within the family of randomization-based machine
learning models have grasped a great interest in the Artificial Intelligence community, mainly …

Accurate runoff estimation is crucial for optimal reservoir operation and irrigation purposes.
In this study, a novel hybrid method is proposed for monthly runoff prediction in Mangla …

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 …

Wind power is a vital power grid component, and wind power forecasting represents a
challenging task. In this study, a series of multiobjective predictive models were created …

Solar energy-based technologies have developed rapidly in recent years, however, the
inability to appropriately estimate solar energy resources is still a major drawback for these …

Solar energy is one of the most prominent renewable energy sources today and it can
contribute to the energy market with accurate solar radiation estimation. This study proposes …

Solar energy is one of the renewable and clean energy sources. Accurate solar radiation
(SR) estimates are therefore needed in solar energy applications. Firstly, two deep learning …

Obtaining precise solar radiation data is the first stage in determining the availability of solar
energy. It is also regarded as one of the major inputs for a variety of solar applications. Due …

Reliable and precise estimation of solar energy as one of the green, clean, renewable and
inexhaustible types of energies can play a vital role in energy management, especially in …