Short-term load interval prediction method and device

The invention relates to a short-term load interval prediction method and device, and the method comprises the steps: obtaining current input data, wherein the current input data comprises the type of a current day, the current meteorological data, and the actual load of a previous day; and inputting the current input data into the short-term load value prediction model based on the artificial neural network to output a predicted load value of the current day, and inputting the predicted load value of the current day into the Copula function model based on the Euclidean distance to output a prediction interval according to the Euclidean distance between the feature vector of the current day and the feature vector of each day in the historical interval section. According to the method, short-term load interval prediction can be realized, the prediction interval is output according to the Euclidean distance between the feature vector of the current day and the feature vector of each day in the historical interv