Published March 31, 2026 | Version v1
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DECARBONIZATION OF THERMAL POWER SYSTEMS: THE ROLE OF INTELLIGENT NETWORK MANAGEMENT

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 This article provides a comprehensive analysis of the role of modern digital technologies, particularly Big Data, artificial intelligence, and intelligent network management (smart grid) systems in the process of decarbonizing thermal power systems. The study examines innovative approaches to reducing carbon emissions in energy production and distribution processes, predictive modeling, and digital management tools. Additionally, the article addresses existing problems, technological limitations, and ways to overcome them. The results indicate that intelligent management systems are a crucial tool for ensuring the ecological sustainability of thermal energy.

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References

  • 1.International Energy Agency (2021). Net Zero by 2050: A Roadmap for the Global Energy Sector. Paris: IEA.
  • 2.World Bank (2021). Digitalization and Energy Efficiency. Available at: https://www.worldbank.org (Accessed: 31 March 2026).
  • 3.International Renewable Energy Agency (2022). Renewable Energy and Jobs – Annual Review. Abu Dhabi: IRENA.
  • 4.United Nations (2020). Climate Change and Energy Report. New York: UN.
  • 5.Michael I. Jordan (2019). Machine Learning in Energy Systems. Cambridge: MIT Press.
  • 6.Stuart Russell and Peter Norvig (2021). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.