In order to improve the accuracy of wind power short-term forecasting，further mining of meteorological features is needed，for which，an improved deep learning model for feature mining is proposed based on Bayesian optimal parameter tuning. The statistical features，combinatorial features and category features are extracted for meteorological factors under multiple time scales. A deep learning model consisting of module combining long short-term memory neural network and Attention mechanism，Embedding module and output module is constructed，t...
