Session Materials

Thermal Modeling of Power Transformer and Shunt Reactor Using Physics-Informed Neural Networks

Ref A2-10842-2024 • 2024
  • This publication is free only for CIGRE members
  • Price for non member: 30 €
Thermal Modeling of Power Transformer and Shunt Reactor Using Physics-Informed Neural Networks

Summary

Session Delegates (Members and non-members): access these materials for free via your Session registration account.

Additional informations

Publication type Session Materials
Reference A2-10842-2024
Publication year
Publisher CIGRE
Study committees
  • Power transformers and reactors (A2)
File size 1 MB
Price for non member 30 €
Price for member Free

Authors

Jhelum CHAKRAVORTY, Michele LUVISOTTO, Nicolo RIPAMONTI, Tor LANERYD, Annamalai LAKSHMANAN

Keywords

Thermal modeling of power transformer, inverse problem, Physics-Informed Neural Networks, indirect validation of predictive models

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Thermal Modeling of Power Transformer and Shunt Reactor Using Physics-Informed Neural Networks
Thermal Modeling of Power Transformer and Shunt Reactor Using Physics-Informed Neural Networks