Since solar energy facility's output is directly dependent on the amount of sunlight, changes in weather conditions create significant changes in the amount of energy produced from the system. Advanced forecasting technologies will help companies and improved transmission and distribution predict when clouds and other factors associated with the weather would weaken the power output of the sun and solar installations. In return, such information will allow these companies to prepare in advance for reduced solar output and prevent network instability throughout the USA.
In addition, high predictive infrastructure will help companies improve network reliability and ultimately reduce the costs of renewable energy integration network. Department of Energy will select a project or two competitive budget in question, that he might have a partnership with national laboratories, universities and industry to improve the forecasting accuracy of time frames solar less than an hour, a short range of one to six hours, and prediction of the day ahead and above. The Department plans to fund projects that may improve advanced modeling of weather, developer projects groundbreaking methodology accurately predicted output of solar installations, projects that promote the integration prediction of solar energy Baufrtziih infrastructure companies and projects demonstrate the economic benefits and improved reliability are the product of accurate forecasting. The initiative will fund projects up to three years of a budget of $ 9 million, with 20% of funding comes from private and other sources.
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