Sydney, Australia (SPX) Feb 18, 2025

As solar power becomes a more significant component of the global energy grid, improving the accuracy of photovoltaic (PV) generation forecasts is crucial for balancing supply and demand. A recent study published in Advances in Atmospheric Sciences examines how machine learning and statistical techniques can enhance these predictions by refining errors in weather models. Since PV forecasti

via Solar Energy News https://ift.tt/54uyLnQ