Precise solar radiation forecasting is of great importance for solar energy utilization and its
integration into the grid, but because of the daily solar radiation's intrinsic non-stationary and …

Solar irradiance forecasting is a major priority for the power transmission systems in order to
generate and incorporate the performance of massive photovoltaic plants efficiently. As …

Photovoltaic power generation has remarkable environmental benefit, and it is one of the
effective means to fundamentally solve environmental problem. An accurate photovoltaic …

Reliable knowledge of solar radiation is an essential requirement for designing and
planning solar energy systems. Thus, this paper presents a novel hybrid model for predicting …

Reliable estimation of solar irradiance data is required for a number of solar energy
applications. The Deep Learning (DL) techniques have achieved a high prediction accuracy …

Solar irradiance data include temporal information and geospatial information, so solar
irradiance prediction can be regarded as a spatiotemporal sequence prediction problem …

The ever-growing interest in and requirement for green energy have led to an increased
focus on research related to forecasting solar irradiance recently. This study aims to develop …

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 …

Global solar radiation is variable in nature, hence its forecasting is very important. This
paper aims to predict the global solar radiations using real experimental data collected over …

The solar forecasting is an effective method to enhance the operation of an electrical system
for merging a large amount of solar power generation systems and intends to expand a new …