System and methods for improving the accuracy of solar energy and wind energy forecasts for an electric utility grid
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United States of America Patent
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May 19, 2020
Grant Date -
Nov 23, 2017
app pub date -
May 19, 2017
filing date -
May 19, 2016
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Abstract
A computer system and method for improving the accuracy of predictions of the amount of renewable energy, such as solar energy and wind energy, available to an electric utility, and/or refine such predictions, by providing improved integration of meteorological forecasts. Coefficient values are calculated for a renewable energy generation model by performing a regression analysis with the forecasted level of renewable energy posted by the utility, forecasted weather conditions and measures of seasonality as explanatory variables. Accuracy is further enhanced through the inclusion of a large number of time series variables that reflect the systematic nature of the energy/weather system. The model also uses the original forecast posted by the system operator as well as variables to control for season.
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