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Research on dynamic cost prediction method for power technology upgrading projects based on improved transformer

Qi Shi1, Yue Le2, Chunjie Gu3

  • 1Production Technology Department, State Grid East China Branch, Shanghai, 200120, China. shiqisgcc@163.com.

Scientific Reports
|June 23, 2026
PubMed
Summary

This study introduces an advanced Transformer model for accurate power grid technical renovation (PGTR) cost prediction. The new framework significantly improves prediction accuracy over existing methods, aiding project management.

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