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<div><p>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 an...

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Bibliographic Details
Main Author: Liangzheng Wu (20501304) (author)
Other Authors: Kaiman Li (20501307) (author), Yan Huang (46805) (author), Zhengdong Wan (12486019) (author), Jieren Tan (20501310) (author)
Published: 2025
Subjects:
Science Policy
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
thus putting forward
research conclusion reveals
machine learning algorithm
promoting renewable energy
comprehensive evaluation method
emission reduction opportunities
carbon emission reduction
main influencing factors
div >< p
carbon emission data
power enterprises based
emission reduction
carbon audit
main innovation
important factors
evaluation index
energy saving
power industry
power enterprises
topsis ).
scientific formulation
outstanding performance
order preference
new perspective
iea co
ideal solution
existing problems
entropy weight
deeply mine
comprehensively analyze
big data
artificial intelligence
also provides
actual achievements
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