Research on the Influence of Heavy Pollution Environment on Hydrophobic Substances in Silicone Rubber Materials

Authors

  • Shumin Yu
  • Mingshen Xu
  • Ruixin Xu
  • Jingzhong Zhang
  • Shijie Wang
  • Jingjia Tian

DOI:

https://doi.org/10.54097/ajst.v8i1.13566

Keywords:

Silicone Rubber Material, Hydrophobic Substances, TGA, DSC.

Abstract

Power load forecasting is very important for power dispatching. Accurate load forecasting is of great significance for saving energy, reducing generating costs, and improving social and economic benefits. In order to accurately predict the power load, based on BP neural network theory, combined with the advantages of Clementine in dealing with big data and preventing overfitting, a neural network prediction model for large data is constructed.

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References

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Published

21-11-2023

Issue

Section

Articles

How to Cite

Yu, S., Xu, M., Xu, R., Zhang, J., Wang, S., & Tian, J. (2023). Research on the Influence of Heavy Pollution Environment on Hydrophobic Substances in Silicone Rubber Materials. Academic Journal of Science and Technology, 8(1), 46-51. https://doi.org/10.54097/ajst.v8i1.13566