Author

Md. Obaidur Rahman

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Preprint Sep 2026

Expediting AC Contingency Analysis using a Basecase Machine Learning Model

Grid planning and operation under increasingly variable operating conditions require fast and accurate AC power flow (AC-PF) contingency analysis for numerous line outages. While ML models can accelerate these computations, existing approaches often require either training separate models for different contingencies or...

Md. Obaidur Rahman, Vassilis Kekatos · 0 citations

#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