Ensemble Deep Learning Model for Power System Outage Prediction for Resilience Enhancement-Reference-Cited by-同舟云学术

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Ensemble Deep Learning Model for Power System Outage Prediction for Resilience Enhancement

Published:2023-10-15 Issue: Volume: Page:
ISSN:
Container-title:2023 North American Power Symposium (NAPS)
language:
Short-container-title:

Author:

Madasthu Santhosh¹,Mamun Abdullah Al¹,Abbas Akintonde¹,Abbate Emily¹,Chowdhury Badrul¹,Cox Robert¹

Affiliation:

1. University of North Carolina at Charlotte,Energy Production & Infrastructure Center,Charlotte,NC,USA,28223

Funder

Solar Energy Technologies Office (SETO), U.S. Department of Energy (DoE)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10318157/10318530/10318685.pdf?arnumber=10318685

Reference18 articles.

1. Multilevel grid division of urban distribution network based on hierarchical spatial reasoning;juqin;Science and Technology Bulletin,2020

2. Research progress on early warning technology of transmission and distribution lines against strong typhoon in coastal areas;bin;High Voltage Appl,2018

3. Pearson's correlation coefficient;sedgwick;BMJ,2012

4. Storm outage modeling for an electric distribution network in Northeastern USA

5. Prediction method of distribution network fault risk level considering weather factors;wen;Power System Technology,2018

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