NASA researchers show that artificial intelligence can anticipate solar flare buildups by tracking subtle changes across the ...

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 ...

FORECAST AND BEYOND. COMING UP, NEW ON WYFF NEWS FOUR AT NOON. ALL SPARTANBURG COUNTY SCHOOL DISTRICTS WILL BE ON E-LEARNING DAYS FOR THE NEXT BIG SOLAR ECLIPSE THAT’S HAPPENING APRIL EIGHTH. ALL ...

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.

How can machine learning help determine the best times and ways to use solar energy? This is what a recent study published in Advances in Atmospheric Sciences hopes to address as a team of researchers ...

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 ...

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 ...

On remote river islands in eastern India’s Assam state, solar power is helping children access education more reliably, reports Mongabay India’s Shailesh Shrivastava. Schools in Assam’s Brahmaputra ...

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