A Discriminant System for Factors Influencing Coal Demand Based on GDIM-SVM

Tong Wang; Xiangrui Wang

doi:10.54097/mcea1b76

Authors

Tong Wang
Xiangrui Wang

DOI:

https://doi.org/10.54097/mcea1b76

Keywords:

GDIM, SVM, Carbon Emissions

Abstract

To support the regulation of coal consumption under the “carbon peak” and “carbon neutrality” goals, this study integrates GDIM and SVM to construct a discriminant system for identifying factors influencing coal demand. Six major effects were identified through GDIM decomposition; these were used as features to train an SVM model, which was then integrated with hardware and software to build and test the system. The results indicate that the model is highly robust and computationally efficient, providing a quantitative analysis tool for government agencies, enterprises, and research institutions.

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References

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