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The Innovation Energy > 2024 Vol. 1 > No. 4 > 100052
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Prediction of exhaust gas content of PTA oxidation units based on the improved parameter adaptive LSTM

  • 1.

    College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China

  • 2.

    China Kunlun Contracting & Engineering CO., LTD, Beijing 100037, China

  • 3.

    Beijing Advanced Innovation Centerfor Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China

  • 4.

    Department of Automation, Tsinghua University, Beijing 100084, China

  • 5.

    Sustainable energy research Center (SERC), Dalarna University, Falun 79188, Sweden

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The Innovation Energy  1(4),  https://doi.org/10.59717/j.xinn-energy.2024.100052  |  Cite this article
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  • Cite this article:

    Han Y., Huang J., Xu B., et al., (2024). Prediction of exhaust gas content of PTA oxidation units based on the improved parameter adaptive LSTM. The Innovation Energy 1(4): 100052. https://doi.org/10.59717/j.xinn-energy.2024.100052
    Han Y., Huang J., Xu B., et al., (2024). Prediction of exhaust gas content of PTA oxidation units based on the improved parameter adaptive LSTM. The Innovation Energy 1(4): 100052. https://doi.org/10.59717/j.xinn-energy.2024.100052

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