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June 8, 2026International Journal of Global Energy Issues0 citations

Identification of carbon emission influencing factors and optimisation of carbon reduction paths driven by big data in power grid operation

YLYin LiuYAYimin AnMFMao Fan

Key Points

  • The aim is to identify factors affecting carbon emissions and optimize reduction paths in power grid operations using big data.
  • Analyzed carbon emission data from power grid operations.
  • Utilized big data techniques to identify influencing factors.
  • Developed optimization models for carbon reduction strategies.
  • Identified key factors influencing carbon emissions in power grid operations.
  • Proposed effective optimization paths that could potentially reduce emissions significantly.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Liu et al. (2026) studied this question.

synapsesocial.com/papers/6a265ccbad53cfb9357c608ahttps://doi.org/10.1504/ijgei.2026.10079028
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