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Jun-Jie Qin

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#machine learning Preprint Sep 2026

AC Power Flow Contingency Analysis Using a Single Deep Neural Network

This work proposes a framework that reuses a single ML model trained solely on basecase AC-PF data to estimate post-contingency operating states under arbitrary single-line outages and formulates post-contingency state prediction as a fixed-point iteration.

Md. Obaidur Rahman, Jun-Jie Qin, Vassilis Kekatos · 1 citation

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