The geography and landscape of mountainous locations are frequently varied, which
causes uneven solar radiation exposure in different places which leads to photovoltaic (PV) …

The association of different variable renewable technologies in hybrid power plants and the
benefits of their aggregation for the operation of power systems is an area of recent …

A myriad of techniques regarding renewable energy forecasting have been proposed in
recent literature, commonly classified as physical, statistical, machine learning based or a …

Solar irradiation prediction including Global Horizontal Irradiation (GHI) and Direct Normal
Irradiation (DNI) is a useful technique for assessing the solar energy potential at specific …

The establishment of accurate artificial intelligence (AI) prediction models for blast-induced
noise is a hot topic in mining sciences due to its environmental and safety implications …

The global horizontal irradiance (GHI) is the most important metric for evaluating solar
resources. The accurate prediction of GHI is of great significance for effectively assessing …

For efficient operation, solar power operators often require generation forecasts for multiple
sites with varying data availability. Many proposed methods for forecasting solar …

Renewable energy sources (RESs) such as solar, wind, and hydroelectric power play an
increasingly significant role in the global energy landscape, offering sustainable alternatives …

We call the types of energy in the world that we don't have to worry about running out after
consumption, RE. Today, the reserve of natural energy on the planet is running out and the …

Manufacturing industries now leverage high-dimensional streaming video data from diverse
sensors, represented as tensors (multidimensional arrays of channels× signals× time), for …