The invention provides a node
electricity price prediction method and device, and the method comprises the steps of obtaining a historical
data set of a target node, constructing a feature
library, and dividing the historical
data set into a
training set and an integration set; training the
training set according to a feature
library to generate an overall prediction model, training the
training set according to an
energy component, a blocking component and a network loss component of a historical
electricity price according to the feature
library to generate three groups of component prediction models, and adding the three groups of component prediction models to obtain a component-based prediction model; constructing a
linear programming problem by taking minimization of regression lossas a target according to the integrated set and taking the integrated weight of the overall prediction model and the integrated weight based on the component prediction model as decision variables, solving the optimal integrated weight, and adding the overall prediction model and the integrated weight based on the component prediction model to obtain an
electricity price prediction model; and obtaining input features of a target moment and inputting the input features into the
electricity price prediction model to obtain predicted
electricity price. Therefore, accurate node
electricity price prediction can be realized, the
economic benefits of participants in the
electricity market are improved, and the method has relatively high application value.