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Muhammad Furqan Azam

KU Leuven

Oude Markt 13

Leuven, 3000

Belgium

SCHOLARLY PAPERS

2

DOWNLOADS

67

TOTAL CITATIONS

1

Scholarly Papers (2)

1.

Physics-Informed Factor Graph Neural Networks for Constrained State Estimation in Low Observable Distribution Networks

Number of pages: 34 Posted: 19 Jan 2026
KU Leuven, KU Leuven, affiliation not provided to SSRN, affiliation not provided to SSRN and KU Leuven
Downloads 52 (1,109,210)
Citation 1

Abstract:

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Distribution networks, factor graphs, physics-informed machine learning, state estimation.

2.

Hard-Constrained Probabilistic Factor Graph Neural Network for Distribution System State Estimation under Non-Gaussian Uncertainty

Number of pages: 55 Posted: 20 May 2026
Muhammad Furqan Azam, Marta Vanin, Chris Hermans and Geert Deconinck
KU Leuven, KU Leuven, affiliation not provided to SSRN and KU Leuven
Downloads 15 (1,534,404)

Abstract:

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Distribution system state estimation, physics-informed neural networks, factor graphs, projection layer, non-Gaussian uncertainty