Watt-sun: A Multi-scale, Multi-Model, Machine-Learning Solar Forecasting Technology Award Number: DE-EE0006017 CX(s) Applied: A9, B3.1 Solar Energy Technologies Office Date: 03/26/2014 Location(s): NY Office(s): Golden Field Office
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February 26, 2016
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Watt-sun: A Multi-scale, Multi-Model, Machine-Learning Solar Forecasting Technology
Award Number: DE-EE0006017
CX(s) Applied: A9, B3.1
Solar Energy Technologies Office
Date: 03/26/2014
Location(s): NY
Office(s): Golden Field Office
The U.S. Department of Energy (DOE) is proposing to provide federal funding to the IBM T.J. Watson Research Center (IBM) to research and develop a solar forecasting technology to advance the accuracy of solar power forecasting. This new technology titled “Watt-sun” would leverage and blend new data processing technologies, existing and newly developed forecasting metrics, and existing computer models and systems, using deep machine learning methods.
Funding would be used for data collection, analysis and dissemination, computer modeling, and computer software development and testing activities. Funding would also be used to calibrate existing data collection instrumentation and install new data collection instrumentation on existing infrastructure within existing sites.