IBM: DOE Solar Forecast Accuracy Up 30% With SMT Machine Learning Tool
The Energy Department has achieved a 30 percent increase in accuracy on wind, hydro and solar forecasts through the use of an IBM-built system that uses machine learning techniques, the company said Thursday. IBM said the Self-learning weather Model and renewable forecasting Technology platform is designed to analyze and generate weather model-derived solar forecasts through analytics, big data […] More