1. An energy consumption predicting device for a rolling line having a facility operating on a material to be rolled, the device comprising: a setting calculation unit configured to define various set operating values of the facility based on operating conditions corresponding to the material to be rolled; an actual value collection unit configured to collect various actual operating values with respect to a result of operation of the facility based on the various set operating values; an actual energy consumption value acquisition unit configured to integrate the various actual operating values, with a section where the facility operates on the material to be rolled being used as an integration section, to acquire an actual value of energy consumption; an actual energy consumption calculation unit configured to input, into a model expression that defines relation between the various operating values of the facility and energy consumption of the facility, the various actual operating values as the various operating values, to calculate an actual calculation value of the energy consumption; an energy consumption learning value calculation unit configured to divide the actual value by the actual calculation value to calculate a reference learning value of the energy consumption; a pseudo-actual energy consumption calculation unit configured to input the set operating value defined by the setting calculation unit only in one operating value, among various operating values of the model expression, while inputting the actual operating values collected by the actual value collection unit n other operating values to calculate a pseudo-actual calculation value of the energy consumption; and a correction learning value calculation unit configured to divide the actual calculation value by the pseudo-actual calculation value to calculate a correction learning value, wherein the setting calculation unit inputs the various set operating values as the various operating values of the model expression to calculate a prediction value of the energy consumption for the material to be rolled, which is scheduled to be conveyed to the rolling line next time or later, and multiplies the prediction value by the reference learning value and the correction learning value to calculate a corrected prediction value of the energy consumption.