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April 29, 2026工程学研究与实用0 citationsOpen Access

Applying Artificial Intelligence to Energy Control in Aluminum Smelting

人工智能在铝冶炼能源管控中的应用

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云罗云 罗

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Overview

AI enhances energy management in aluminum smelting, indicating significant reductions in carbon emissions.

Key Points

  • The central aim is to explore AI's role in optimizing energy consumption in aluminum smelting.
  • Analyzed energy consumption characteristics and carbon emission mechanisms in key processes of aluminum smelting.
  • Investigated applications of machine learning, deep learning, reinforcement learning, and digital twins for energy optimization.
  • Developed an integrated intelligent energy management system based on perception, analysis, decision-making, and execution.
  • AI technologies significantly reduce aluminum energy consumption per unit.
  • Demonstrated effectiveness in decreasing carbon emissions.
  • Highlighted improvements in resource utilization efficiency.

Cite This Study

云 罗 (2026) studied this question.

synapsesocial.com/papers/69f1545d879cb923c49448dehttps://doi.org/10.37155/2717-5316-0703-21
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