Enterprise carbon emission prediction method and device, computer equipment and storage medium

Abstract

The invention relates to an enterprise carbon emission prediction method and device, computer equipment and a storage medium. The method comprises the following steps: obtaining to-be-analyzed data, wherein the to-be-analyzed data comprises at least one of a per capita domestic total production value, energy intensity, an added value of an industry to which a target enterprise belongs, total energy consumption of the industry to which the target enterprise belongs, main business income of the target enterprise, revenue profit of the target enterprise and power consumption of the target enterprise; performing empirical mode decomposition on the to-be-analyzed data to obtain a plurality of subsequences with different frequencies and a residual component sequence; inputting a plurality of sequences formed by the subsequences and the residual component sequence into a carbon emission prediction model to obtain sequence prediction results corresponding to the sequences; and performing sequence reconstruction on each obtained sequence prediction result to obtain a reconstruction result, and determining an enterprise carbon emission prediction result corresponding to the target enterprise based on the reconstruction result. By adopting the method, the carbon emission prediction precision can be improved.

Description

technical field [0001] The present application relates to the technical field of data processing, in particular to a method, device, computer equipment and storage medium for predicting enterprise carbon emissions. Background technique [0002] Reducing carbon emissions is the core essence of "carbon neutrality" and the focus of efforts to achieve the goal. Accurate measurement and comprehensive monitoring of carbon emissions is the primary task of reducing carbon emissions. Although the energy supply side is the key area of ​​carbon emissions, its production serves consumption, and the energy consumption side directly or indirectly obtains economic and environmental benefits from the high energy consumption and high emissions of the energy supply side. Based on this, in order to balance the supply-side and consumption-side responsibilities of carbon emissions and avoid the unfairness caused by the transfer of carbon emissions responsibilities, accurate measurement and compr...

AI Technical Summary

Problems solved by technology

Although the model estimation method can effectively analyze and predict carbon emissions, it needs to integrate policy, economic and other factors, and is more suitable for carbon emission prediction at the macro level, and there are large calculation errors at the industry and enterprise levels

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