Integration renewable energy sources into current power generation systems necessitates
accurate forecasting to optimize and preserve supply–demand restrictions in the electrical …

Effective solar forecasting has become a critical topic in the scholarly literature in recent
years due to the rapid growth of photovoltaic energy production worldwide and the inherent …

Integrating photovoltaic power into the power system can offer significant economic and
environmental benefits. However, the intermittent and random nature of photovoltaic power …

This study addresses the critical need for precise Direct Normal Irradiation forecasting in
concentrating solar power systems to enhance performance and manage power generation …

The sodium adsorption ratio (SAR) is the most crucial irrigation water quality indicator to
diagnose the suitability of agricultural water resources. Due to this reason, accurate …

Solar energy is highly economical and widespread in new energy applications, and
analyzing solar radiation information is an important part of solar photovoltaic power …

Short-term photovoltaic power forecasting (PVPF) is crucial in the scheduling and
functioning of contemporary electrical systems. A short-term PVPF model based on …

The ability of the hybrid evolutionary auto-regression integrated moving average (ARIMA)
with a transformed probabilistically optimized Gumbel (GP) model (ARIMA-GP) and …

This paper focuses on integrating two popular signal processing techniques, ie, variational
mode decomposition (VMD) and discrete wavelet transform (DWT), with deep learning (DL) …

This study investigates the asymmetric spillover network connectedness of policy
uncertainty, the fossil fuel energy market, and global ESG investment by using a time …