The continuous increase in solar power integration with energy systems can be attributed to
the push for cleaner energy use globally, highlighting the importance of accurate solar …

Energy planning in Brazil is based on assessing the availability of hydrological resources in
the future, thus guaranteeing the supply of energy based on hydroelectric generation …

In this research, we propose a deep learning model employing gated recurrent units (GRUs)
for the transmission spectrum prediction, and computational inverse designing of all-optical …

Solar radiation prediction research is a key area of interest in the realm of solar energy
utilization and has garnered significant attention in recent times. In order to realize accurate …

Industrial water withdrawal prediction is the cornerstone of water resources monitoring and
early warning, as well as a key task in implementing rigid constraints on water resources …

With the growing integration of solar power gener-ation into smart grids, accurate solar
irradiance forecasting is of paramount importance for efficient grid operation and renew-able …

Accurate solar forecasting is crucial for efficient integration of solar power into the electricity
grid. While sky image-based methods are introduced to overcome the low capability of …

This study reports annual solar radiation measurements in Biskra (latitude 34 48′ N,
longitude 5 44′ E) using a single pyranometer during 2023. From sunrise to sunset, data …

Accurate forecasting of precipitation is essential for various sectors, including agriculture,
disaster management, and water resource planning. This paper presents a deep learning …