Wind power ultra-short-term power prediction method, device and equipment and storage medium

The invention discloses a wind power ultra-short-term power prediction method and device, equipment and a storage medium, and relates to the technical field of wind power ultra-short-term power prediction, and the method comprises the steps: obtaining original historical data related to a target wind power plant within a preset time period from a current moment, and carrying out the data preprocessing, so as to obtain processed data; then extracting operation data features to obtain feature samples and constructing a modeling training set; performing normalization operation on the feature samples in the modeling training set, and performing feature analysis by using the initial machine learning model to obtain a feature analysis result; performing model training on each initial machine learning model according to a training feature combination corresponding to the feature analysis result and based on a preset model evaluation method and the training feature combination to obtain each trained machine learning