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J. Tabarez

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PowerModel-AI: A First On-the-Fly Machine-Learning Predictor for AC Power Flow Solutions

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By C. Ugwumadu, J. Tabarez, D. A. Drabold, A. C. Pandey
| MDPI
1. Introduction AC power flow (ACPF) analysis is a cornerstone of power system planning and control, critical for maintaining the efficient and reliable operation of the grid. The application of machine learning (ML) to ACPF problems arises from the inherent limitations of traditional iterative solvers like the Gauss-Seidel and Newton-Raphson methods [1,2,3].
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