A graph mapping based supervised machine learning strategy for PMU voltage anomalies' detection and classification in distribution networks-Reference-Cited by-同舟云学术

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A graph mapping based supervised machine learning strategy for PMU voltage anomalies' detection and classification in distribution networks

Published:2023 Issue: Volume: Page:137-161
ISSN:
Container-title:Monitoring and Control of Electrical Power Systems Using Machine Learning Techniques
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Author:

Beltran Ernesto,Barocio Espejo Emilio,del Puerto Flores Dunstano

Publisher

Elsevier

Reference25 articles.

1. Improving detection attacks in electric power system critical infrastructure using rough classification algorithm;Coutinho,2007

2. Outlier data treatment methods toward smart grid applications;Sun,2018

3. Anomaly detection using optimally-placed micro-PMU sensors in distribution grids;Jamei;IEEE Transactions on Power Systems,2017

4. RES/151/2016 – Código de red, Diario Oficial de la Federación, 2016.

5. Performance of phasor measurement units for power quality event detection in urban distribution grids;Macii,2016

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