Space weather forecasting remains a major challenge in heliophysics, as geomagnetic storms continue to pose significant risks to satellite operations, power ...

As solar energy plays an increasing role in the global power supply, ensuring accurate forecasts of photovoltaic (PV) power generation is critical for balancing energy demand and supply. A new study ...

Ultra-fast charging stations (UFCS) present a significant challenge due to their high power demand and reliance on grid electricity. This paper proposes an optimization framework that integrates deep ...

Perovskite solar cells (PSCs) have attracted significant attention in recent years due to their exceptional power conversion efficiencies and low-cost fabrication potential. However, accurately ...

A Swedish research group has found that using deep machine learning to identify solar energy systems in aerial images may not be so accurate in non-densely populated countries such as Sweden. They ...

The process of testing new solar cell technologies has traditionally been slow and costly, requiring multiple steps. Led by a fifth-year PhD student, a Johns Hopkins team has developed a machine ...

An EPFL research project has developed a method based on machine learning to quickly and accurately search large databases, leading to the discovery of 14 new materials for solar cells. As we ...

Soil contamination remains a global challenge, threatening ecosystems, agriculture, and human health. Conventional remediation strategies, while effective, are often energy-intensive and carbon-heavy, ...

Researchers at Korea University have developed a machine learning model for predicting sheet resistance in phosphorus oxychloride (POCl3) doping processes in solar cell manufacturing. “Our study aims ...

The 2024 total solar eclipse finally arrives Monday, but local governments and organizations have been bracing for months to accommodate the millions of Americans hoping to witness the ...

Do you remember the excitement around the 2017 total solar eclipse? Well, it is going to happen again on Monday, April 8, of this year. In a path a little more than 100 miles across, going ...