Gas consumption demand prediction method and system based on integrated mode decomposition

The invention discloses a gas demand prediction method and system based on integrated modal decomposition. The method comprises the following steps: collecting and processing data, analyzing a natural gas load change rule in the data to determine a data set selection range, normalizing the data, performing integrated modal decomposition on a normalized data sequence to obtain an IMF component and a residual quantity, training an SVR model by using the IMF component and the residual quantity, training the SVR model by using an original sequence, and performing nested model training and model verification on a prediction result. Correspondingly, the system comprises a processing module, a decomposition module, a first training module, a second training module, a third training module and a prediction module. According to the method, the original sequence prediction result and the IMF component prediction sequence result are imported into the new SVR model for training, so that the accuracy of the prediction res