IBM Uses Machine Learning to Boost Solar for Dept of Energy

While other solar forecasting systems take more narrow location and timeframe views, what's different about the IBM approach is that we incorporate a great number of weather and solar energy prediction models. We then blend those using historical data as a function of weather situation, forecast horizon and location to create what we call a supermodel.

Machine Learning Helps IBM Boost Accuracy of U.S. Department of Energy Solar Forecasts by up to 30 Percent

Makes Solar Forecasts Available to States to Advance Integration of Solar Power into the Nation's Energy Pipeline

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