TYSONS CORNER, VA July 17, 2015 — IBM (NYSE: IBM) said its weather model and renewable forecasting technology has helped the Energy Department fine-tune its solar and wind forecast accuracy as much as 30 percent compared to using conventional tools, ExecutiveBiz reported Thursday.
The system, dubbed SMT, uses big data, analytics and machine learning to derive the forecasting data from various weather models.
“By continuously training itself using historical records from thousands of weather stations and real time measurements, IBM’s system combines predictions from a number of weather models with geographic information and other data to produce the most accurate forecasts — from minutes to weeks ahead, ” Dr. Siyuan Lu, physical analytics researcher at IBM, said Thursday.
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