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 …

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 …

Prediction of solar irradiance is an essential requirement for reliable planning and efficient
designing of solar energy systems. Thus, in present work, a new ensemble model, which …

The operations of renewable power generation systems highly depend on precise
Photovoltaic (PV) power forecasting, providing significant economic, and environmental …

A novel short-term solar power prediction model is presented in this work, by utilizing the
learning ability of Long-Shot-Term-Memory network (LSTM) based deep learning (DL) …

Solar power plants are important alternatives to fossil fuel-based power plants because they
reduce greenhouse gas emissions and mitigate the effects of climate change. The potential …

Meteorological variables have an important effect on the performance of a grid-connected
photovoltaic station, in this paper, the impact of meteorological variables on the 6 mWp grid …

Solar radiation (SR) is considered as a critical factor in determining energy management. In
this research, the potential of the Bayesian averaging model (BMA) was investigated for …

There are a lot of developing countries with inadequate meteorological stations to measure
solar radiation. This has been a major drawback for solar power applications in these …

Highlights•Mathematical modeling is powerful tools for prediction of EC degradation present
in wastewater on a large scale.•Current generalized models of photocatalytic kinetic can be …