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Cited article:

Power system state estimation based on graph contrastive learning

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Expert Systems with Applications 270 126571 (2025)
https://doi.org/10.1016/j.eswa.2025.126571

Energy and Exergy for Sustainable and Clean Environment, Volume 1

Kavya Kolipakula and Rama Devi Alapati
Green Energy and Technology, Energy and Exergy for Sustainable and Clean Environment, Volume 1 345 (2022)
https://doi.org/10.1007/978-981-16-8278-0_22

An improved TPM-based distribution network state estimation considering loads/DERs correlations

Bahman Abedi, Ali Asghar Ghadimi, Amir Hossein Abolmasoumi, Mohammad Reza Miveh and Francisco Jurado
Electrical Engineering 103 (3) 1541 (2021)
https://doi.org/10.1007/s00202-020-01185-2

A Distribution System State Estimator Based on an Extended Kalman Filter Enhanced with a Prior Evaluation of Power Injections at Unmonitored Buses

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Energies 13 (22) 6054 (2020)
https://doi.org/10.3390/en13226054

Robust and Fast State Estimation for Poorly-Observable Low Voltage Distribution Networks Based on the Kalman Filter Algorithm

Mitja Antončič, Igor Papič and Boštjan Blažič
Energies 12 (23) 4457 (2019)
https://doi.org/10.3390/en12234457