Necessary and sufficient conditions are given for the number of independent operating points required to determine unknown grid topology and admittance, with a structured total least squares estimator demonstrated on IEEE test systems.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
Spectra-Scope is a new AutoML framework that trains interpretable machine learning models on spectral data to characterize material properties while enabling users to understand which spectral features drive the predictions.
citing papers explorer
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Electric Grid Topology and Admittance Estimation using Phasor Measurements
Necessary and sufficient conditions are given for the number of independent operating points required to determine unknown grid topology and admittance, with a structured total least squares estimator demonstrated on IEEE test systems.
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Spectra-Scope : A toolkit for automated and interpretable characterization of material properties from spectral data
Spectra-Scope is a new AutoML framework that trains interpretable machine learning models on spectral data to characterize material properties while enabling users to understand which spectral features drive the predictions.