Prediction of Electricity Generation by Wind Farms Based on Intelligent Methods: State of the Art and Examples
With the rapid growth of wind energy production worldwide, the Wind Power Forecast (WPF) will play an increasingly important role in the operation of electricity systems and electricity markets. The article presents an overview of modern methods and tools for forecasting the generation of electricity by wind farms. Particular attention is paid to the intelligent approaches. The article considers the issues of preparation and use of data for such forecasts. It presents the example of a forecasting system based on neural networks, proposed by the authors of the paper.