What is it about?
A nonlinear modeling method that can predict future data by learning the relationships of historical data.
Photo by Andrea Boldizsar on Unsplash
Why is it important?
Due to the intermittence of wind power, it is very important to accurately predict it for the stability of power grid. Therefore, the prediction of its size through mathematical modeling can help the power system to reasonably allocate the proportion of wind power in the power grid.
Read the Original
This page is a summary of: Prediction of ultra-short-term wind power based on BBO-KELM method, Journal of Renewable and Sustainable Energy, September 2019, American Institute of Physics, DOI: 10.1063/1.5113555.
You can read the full text:
The following have contributed to this page