The growing development of photovoltaic technology has explored the role of effective solar
irradiance forecasting in grid security and stability However, due to its non-stationary nature …

Microgrid is becoming an essential part of the power grid regarding reliability, economy, and
environment. Renewable energies are main sources of energy in microgrids. Long-term …

Renewable energies are the alternative that leads to a cleaner generation and a reduction
in CO 2 emissions. However, their dependency on weather makes them unreliable …

Accurate global horizontal irradiance (GHI) forecasting is crucial for efficient management
and forecasting of the output power of photovoltaic power plants. However, developing a …

Precise solar radiation forecasting can provide great benefits and solutions for smart grid
distribution and electricity management. However, its non-stationary behavior and …

Photovoltaic generation has arisen as a solution for the present energy challenge. However,
power obtained through solar technologies has a strong correlation with certain …

Currently, the energy market is facing the challenge of significant increase in demand and it
is a well known fact that the availability of fossil fuels is limited. The solar generation has …

For grid stability, operation, and planning, solar irradiance forecasting is crucial. In this
paper, we provide a method for predicting the Global Horizontal Irradiance (GHI) mean …

This work presents the first version of DL 2 F, a powerful Deep Learning model specifically
designed to forecast four essential weather variables that influence solar power potential …

The adequate modeling and estimation of solar radiation plays a vital role in designing solar
energy applications. In fact, unnecessary environmental changes result in several problems …