three recipients will share $12m as part of the US Department of Energy's Solar Forecasting 2 funding round, aimed at improving solar forecasting technology 24-48 hours in advance of real time, and six hours ahead. The projects will cover Eight key areas: evaluating and comparing the performance of solar irradiance and solar power forecasting models; developing improved tools to predict how much light will reach solar panels; and integrating solar forecasting technologies with grid operators’ energy management systems. “These aren’t things that are done just in a classroom environment,” he said. the US Department of Energy's Solar 's machine-learning Watt-Sun programme is among the projects.
three recipients will share $12m as part of the US Department of Energy's Solar Forecasting 2 funding round, aimed at improving solar forecasting technology 24-48 hours in advance of real time, and six hours ahead. The projects will cover Eight key areas: evaluating and comparing the performance of solar irradiance and solar power forecasting models; developing improved tools to predict how much light will reach solar panels; and integrating solar forecasting technologies with grid operators’ energy management systems. the US Department of Energy's Solar 's machine-learning Watt-Sun programme is among the projects.