Industrial large consumer monthly electricity consumption and carbon emission prediction method and equipment

The invention discloses a method and equipment for predicting monthly electricity consumption and carbon emission of industrial large users, and belongs to the field of load prediction and carbon emission prediction. Aiming at the problem that the monthly electricity consumption of the industrial large users and a carbon emission sequence often have certain characteristics of seasonality, strong volatility, non-stationarity and the like, the invention provides an industrial large user monthly electricity consumption and carbon emission combined prediction technology which combines an improved fusion variational mode decomposition method, a Fourier transform method and an Ensemble integration method. According to the scheme provided by the invention, non-linear information in the power consumption and carbon emission data can be effectively extracted, and complex and irregular power consumption and carbon emission data can be well processed, so that the monthly power consumption and carbon emission of the indu