Power load prediction method and device based on clustering characteristics

The invention discloses a clustering feature-based power load prediction method and device, and the method comprises the steps: analyzing a received load prediction request, obtaining load prediction information matched with the load prediction request, obtaining historical power load data according to the load prediction information, and carrying out the clustering feature-based power load prediction. And performing clustering operation on all the obtained historical power load data to obtain at least one load category, inputting all the historical power load data included in each load category into a preset target prediction model to obtain a target output result of the target prediction model, and according to the target output result, obtaining a target prediction result of the target prediction model. And generating a power load prediction result. It can be seen that the power load can be predicted based on the clustering features, the accuracy of power load prediction can be improved, and the efficiency