A hybrid spatiotemporal distribution forecast methodology for IES vulnerabilities under uncertain and imprecise space-air-ground monitoring data scenarios-Reference-Cited by-同舟云学术

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A hybrid spatiotemporal distribution forecast methodology for IES vulnerabilities under uncertain and imprecise space-air-ground monitoring data scenarios

Published:2024-11 Issue: Volume:373 Page:123805
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Chenhao Sun,Yaoding Wang,Xiangjun Zeng,Wen Wang,Chun Chen^ORCID,Yang Shen^ORCID,Zhijie Lian,Quan Zhou

Publisher

Elsevier BV

Reference80 articles.

1. A coordinated reconfiguration strategy for multi-stage resilience enhancement in integrated power distribution and heating networks;Wang;IEEE Trans Smart Grid,2023

2. Accident scenarios screening for integrated energy supply stations;Xu;Int J Hydrog Energy,2023

3. A control chart approach to power system line outage detection under transient dynamics;Yang;IEEE Trans Power Syst,2021

4. A new method for improving the fault detection performance of distance relays during power swings;Li;Electr Power Syst Res,2023

5. Fast simulation modeling and multiple-PS fault diagnosis of the PV array based on I–V curve conversion;Yang;Energy Convers Manage,2024

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