Papers by Panayiotis Christou

1 papers
LLM4DistReconfig: A Fine-tuned Large Language Model for Power Distribution Network Reconfiguration (2025.naacl-long)

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Challenge: Power distribution network reconfiguration is crucial for maintaining operational efficiency, reliability and adaptability in modern power networks.
Approach: They propose a deep learning-based approach to solve a distribution network reconfiguration problem using inputs from a LLM.
Outcome: The proposed model generates optimal configurations minimizing system loss for five individual and a combined test dataset.

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