A Resilient Deep Learning Approach for State Estimation in Distribution Grids With Distributed Generation

State estimation is a challenging problem, particularly in distribution grids that have unique characteristics compared with transmission grids. Conventional methods that solve the state estimation problem at the transmission level require the grid to be observable, which does not apply to distribut...

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Bibliographic Details
Main Authors: Ronald Kfouri, Harag Margossian
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:International Transactions on Electrical Energy Systems
Online Access:http://dx.doi.org/10.1155/etep/2734170
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