A Comparative Study Between Bayesian Network and Hybrid Statistical Predictive Models for Proactive Power System Network Resilience Enhancement Operational Planning-Reference-Cited by-同舟云学术

A Comparative Study Between Bayesian Network and Hybrid Statistical Predictive Models for Proactive Power System Network Resilience Enhancement Operational Planning

Published:2023 Issue: Volume:11 Page:41281-41302
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Omogoye Samuel O.¹^ORCID,Folly Komla A.¹^ORCID,Awodele Kehinde O.¹^ORCID

Affiliation:

1. Department of Electrical Engineering, University of Cape Town, Cape Town, South Africa

Funder

NRF South Africa

Tertiary Education Trust Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10089447.pdf?arnumber=10089447

Reference57 articles.

1. Methods for Analysis and Quantification of Power System Resilience

2. A Survey on Simulation of Power Systems Resilience Under Extreme Weather Events

3. Review of Sequential Steps to Realize Power System Resilience

4. McCarl GAMS user guide, version 22.6;mccarl,2008

5. Review of Proactive Operational Measures for the Distribution Power System Resilience Enhancement Against Hurricane Events.

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