Electric power spot price prediction method, device and system and storage medium

The invention discloses an electric power spot price prediction method, device and system and a storage medium. The method comprises the following steps: acquiring to-be-predicted data; a price prediction result of the to-be-predicted data is obtained through a pre-trained price prediction model, and the price prediction model is obtained by training multiple sets of preprocessed data in an integrated learning mode, the pre-processed data at least comprises expanded data samples of electric power spot historical data samples and/or down-sampled data samples of the electric power spot historical data samples; and obtaining an electric power spot price prediction result according to the price prediction result. According to the invention, data enhancement of random clipping is carried out on price peak and valley area data, so that the accuracy of spot price prediction, especially the peak and valley data parts, can be effectively improved; and secondly, an integrated learning model is adopted, so that the spot