Wind farm output power is directly depended on the wind speed

and it is necessary to improve the prediction accuracy of the wind speed. Taking the difficulty of improving the wind speed point forecast accuracy into account

this paper presents a method for wind speed interval prediction based on the set pair analysis theory. This method uses the training data of wind direction

temperature

pressure

humidity

etc.

which are the influential factors of wind speed. On the other hand

by considering the error distribution of the wind speed point forecast and the change rate of wind speed

the classified collection which the predictive value of the wind speed in a certain period in the future belongs to is determined. The upper and lower limits of the classified collection are taken as the upper and lower limits of the wind speed prediction interval

thus the wind speed interval prediction is realized. By using the training and prediction data that come from a wind farm in China

the effectiveness of the wind speed interval prediction based on the set pair analysis theory is verified. In fact

the proposed method can also be used for wind power prediction.