Solar Forecasting Technologies

The U.S. Department of Energy (DOE) announced $12 million in new funding for eight projects to advance predictive modeling capabilities for solar generation. The models are expected to lead to more accurate forecasts of solar generation levels, enabling utilities to better manage the variability and uncertainty of solar power and improve grid reliability.

According to the DOE, the funding will promote progress in solar forecasting technologies by supporting coordination and partnerships between national labs, universities, and industry. Four of the projects receiving DOE funds are aimed at making significant advances in predicting solar output. Another project, at the University of Arizona, will build a testing framework to allow industry and academia to evaluate and compare the performance of advanced models according to a transparent set of rules and metrics.

Finally, three projects will study the integration of advanced forecasting technologies with grid planning and operations systems in partnership with the California Independent System Operator, the Midcontinent Independent System Operator, and the Electric Reliability Council of Texas. The statement from DOE averred that the corresponding research is intended to validate whether or not these technologies can be efficiently integrated into energy management systems and enhance grid operation efficiency, while working to identify any future research needs.