Reasons for the peak season for wind power generation

Can a seasonal wind energy prediction predict peak energy production seasons?

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.

Why do we need seasonal wind energy forecasts?

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.

Why is seasonal wind energy utilization a key challenge?

A key challenge with the wind energy utilization is that winds, and thus wind power, are highly variable on seasonal to interannual timescales because of atmospheric variability. There is a growing need of skillful seasonal wind energy prediction for energy system planning and operation.

What is the seasonal component of wind?

For wind, there are two peaks of the monthly average seasonal component: Apr (1.11) and Nov (1.07), respectively in spring and autumn, while in summer, the seasonal component is relatively low compared to that of the spring and autumn seasons. The solar seasonal component reaches a peak in July summer of 1.25.

Can wind power generation forecasts be forecasted at seasonal timescales?

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 [ 17 ]), a number of difficulties make the provision of generation forecasts at seasonal timescales challenging.

What is the monthly average seasonal component of wind and solar?

Fig. 7 shows the monthly average seasonal component of both wind and solar within one year. For wind, there are two peaks of the monthly average seasonal component: Apr (1.11) and Nov (1.07), respectively in spring and autumn, while in summer, the seasonal component is relatively low compared to that of the spring and autumn seasons.