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A team of researchers have developed a domain adaption framework capable of transferring knowledge from solar power plants with abundant data to plants that need to be trained without labelled data.

Accurate 15-minute-ahead wind-power forecasting is important for grid operation and renewable-energy integration. This study presents a systematic empirical evaluation of multi-height meteorological, ...

The Japan Weather Association (JWA) says its new forecasting service provides real-time surplus solar power predictions for individual buildings, commercial facilities, and households. The JWA has ...

Amperon’s new short-term forecasting tool is designed to help market and operational decision-making in a renewables-heavy grid. Image: Better Energy. US-based energy forecasting company Amperon has ...

IBM and NASA introduced Surya, an open-source AI model trained on nine years of data from NASA’s Solar Dynamics Observatory. Surya improves solar flare prediction accuracy by 16 percent and can ...

Just last month, a powerful solar storm lit up skies across the northern hemisphere, producing vivid auroras visible as far south as parts of the northern United States. But the breathtaking light ...

Using continuous imagery from NASA's PUNCH (Polarimeter to Unify the Corona and Heliosphere) mission, scientists predicted the near-Earth arrival of a solar eruption to within 30 minutes in an initial ...

Net-demand energy forecasts are critical for competitive market participants, such as in the Electric Reliability Council of Texas (ERCOT) and similar markets, for several key reasons. For example, ...