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The wind energy resource over the CONUS shows substantial seasonal variations, and generally tends to peak during the boreal winter and spring seasons and is lower during the summer and fall seasons (Supplementary Fig. S4).
In the Southern Great Plains, the model can predict strong year-to-year wind energy changes with high skill multiple months in advance. Thus, this seasonal wind energy prediction capability offers potential benefits for optimizing wind energy utilization during peak energy production seasons.
While forecasts of wind power generation at lead times from minutes and hours to a few days ahead have been produced with very advanced methodologies (e.g. dynamical downscaling, machine learning or statistical downscaling ), a number of difficulties make the provision of generation forecasts at seasonal timescales challenging.
Great Plains. Hence, these accurate seasonal wind energy forecasts hold the potential to yield significant benefits in optimizing the production, distribution, and allocation of wind energy resources, ultimately contributing to the enhancement of a sustainable and reliable energy supply.
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