Unified Resilience Model Using Deep Learning for Assessing Power System Performance-Reference-Cited by-同舟云学术

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Unified Resilience Model Using Deep Learning for Assessing Power System Performance

Published:2024 Issue: Volume: Page:
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Author:

Artemchuk Volodymyr,Garbuz Iurii,Alsayaydeh Jamil Abedalrahim Jamil,Shkarupylo Vadym,Oliinyk Andrii,YUSOF MOHD FAIZAL,Gazali Herawan Safarudin

Publisher

Elsevier BV

Reference38 articles.

1. Detecting the research trends and evolution of energy resilience: a bibliometric analysis;Y Yu;Environmental Science and Pollution Research,2023

2. Cyber resilience of power electronics-enabled power systems: A review;J Hou;Renewable and Sustainable Energy Reviews,2024

3. An Insurance Paradigm for Improving Power System Resilience via Distributed Investment;F Billimoria;IEEE Transactions on Energy Markets, Policy and Regulation,2023

4. Resilience enhancement of urban energy systems via coordinated vehicle-to-grid control strategies;L Mauricette;CSEE Journal of Power and Energy Systems,2022

5. Performance assessment and resilience of solar mini-grids for sustainable energy access in Ghana;A Adu-Poku;Energy,2023

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