Optimization of carbon footprint management model of electric power enterprises based on artificial intelligence.

ABSTRACT: This study intends to optimize the carbon footprint management model of power enterprises through artificial intelligence (AI) technology to help the scientific formulation of carbon emission reduction strategies. Firstly, a carbon footprint calculation model based on big data and AI is established, and then machine learning algorithm is used to deeply mine the carbon emission data of power enterprises to identify the main influencing factors and emission reduction opportunities. Finally, the driver-state-response (DSR) model is used to evaluate the carbon audit of the power industry and comprehensively analyze the effect of carbon emission reduction. Taking China Electric Power Resources and Datang International Electric Power Company as examples, this study uses the comprehensive evaluat

SUBMITTER: Wu L 

PROVIDER: S-EPMC11698387 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature