Integration of photovoltaic (PV) systems, desalination technologies, and Artificial Intelligence
(AI) combined with Machine Learning (ML) has introduced a new era of remarkable …

The use of artificial intelligence (AI) is increasing in various sectors of photovoltaic (PV)
systems, due to the increasing computational power, tools and data generation. The …

Solar energy forecasting represents a key element in increasing the competitiveness of solar
power plants in the energy market and reducing the dependence on fossil fuels in economic …

Abstract The Paris Agreement, a landmark international treaty signed in 2016 to limit global
warming to 2° C, has urged researchers to explore various strategies for achieving its …

In today's world, renewable energy sources are increasingly integrated with nonrenewable
energy sources into electric grids and pose new challenges because of their intermittent and …

The monitoring of power generation installations is key for modelling and predicting their
future behaviour. Many renewable energy generation systems, such as photovoltaic panels …

To better forecast solar variability, spatio-temporal methods exploit spatially distributed solar
time series, seeking to improve forecasting accuracy by including neighboring solar …

Meeting the energy needs of a growing population is of paramount importance in today's
society. The use of renewable energy sources, especially solar energy, can help reduce …

Interval-valued time series (ITS) has been widely concerned by the academic community
due to its outstanding performance in dealing with the uncertainty of systems. Numerous ITS …

Featured Application The comparison carried out in this paper through different Machine
Learning and Deep Learning models defines the most appropriate techniques to forecast …