Wind power generation prediction factors

What is wind power prediction?

Wind power prediction involves applying state-of-the-art algorithms to the field of wind power generation so that wind power generation can be better connected to the electricity grid, and key technologies have developed rapidly.

Why is accurate wind power prediction important?

Accurate wind power prediction is important to formulate power generation plans, reduce the impact of wind power integration into the power grid, and maintain the safe and stable operation of the power system. However, wind power output is affected by various factors such as wind speed, wind direction, temperature, air pressure, and humidity.

How has wind power forecasting evolved?

Special attention is given to short-term forecasting, crucial for the day-ahead electricity market. This study traces the evolution of wind power forecasting, from early statistical approaches to the integration of numerical weather prediction, machine learning, neural networks, and advanced techniques.

How to forecast wind power generation?

According to different modeling methods, wind power generation forecasting can be divided into physical methods, statistical methods, artificial intelligence methods, and deep learning methods.

How to predict wind power output?

The prediction of wind power output is part of the basic work of power grid dispatching and energy distribution. At present, the output power prediction is mainly obtained by fitting and regressing the historical data. The medium- and long-term power prediction results exhibit large deviations due to the uncertainty of wind power generation.

What factors affect wind power generation?

Wind power generation of a single wind farm depends on many factors. The most important ones are the number of installed turbines and the turbine model –which determine the maximum power that can be produced (also known as installed capacity)– altogether with the wind blowing at the site.