IBM claims solar and wind forecasts it is producing using “machine learning” and other cognitive computing technologies are as much as 30% more accurate than ones created using conventional approaches. The IBM approach, funded by the US Energy Department’s Sunshot Initiative, continuously analyzes, learns from and improves forecasts derived from a large number of weather models. In contrast, most current forecasting techniques rely on individual weather models that offer a more narrow view of the variables that affect renewable energy variability.
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