Optimising Wind Power Forecasting in Day-Ahead Markets: The Best Meteorological Parameters for Maximum Energy Value.
This work presents a new method for improving the accuracy of wind power forecasting. The key aspect of this method is the optimal combination of a large number of meteorological parameters using statistical and machine learning approaches.