Power load prediction method and system based on multi-feature decomposition and fusion

The invention relates to the field of data processing for prediction purposes, and discloses a power load prediction method and system based on multi-feature decomposition and fusion, and the method comprises the steps: obtaining historical macroeconomic data, historical weather index data and historical power load time series data of a target region; according to the acquired data, constructing a feature matrix reflecting a long-term trend and a feature matrix reflecting short-term fluctuation; performing feature extraction on the feature matrix of the long-term trend to obtain a global feature matrix; performing feature extraction on the short-term fluctuation feature matrix to obtain a local feature matrix; performing feature fusion on the global features, the local features and the historical power load time sequence data; and inputting the fusion features into the prediction model to obtain a power load prediction result. And the error of power load data prediction is obviously reduced. 本发明涉及预测目的的数据处理领域，