Intentional Islanding of Power Systems Through Self-Embedding Learning-Reference-Cited by-同舟云学术

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Intentional Islanding of Power Systems Through Self-Embedding Learning

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Globecom Workshops (GC Wkshps)
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Author:

Sun Zhonglin,Spyridis Yannis,Sessis Achilleas,Efstathopoulos Georgios,Grigoriou Elisavet,Lagkas Thomas,Sarigiannidis Panagiotis

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9681915/9681831/09682069.pdf?arnumber=9682069

Reference21 articles.

1. Constrained spectral clustering‐based methodology for intentional controlled islanding of large‐scale power systems

2. A Novel Two-Stage Multi-Layer Constrained Spectral Clustering Strategy for Intentional Islanding of Power Grids

3. Two-Step Spectral Clustering Controlled Islanding Algorithm

4. A new min-cut problem with application to electric power network partitioning

5. Islanding Detection of Microgrid Incorporating Inverter Based DGs Using Long Short-Term Memory Network

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1. Time Series Problems in the Energy Sector;2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW);2024-05-13

2. A review of recovery strategy for distribution network with distributed generation under typhoon disaster;2023 8th Asia Conference on Power and Electrical Engineering (ACPEE);2023-04

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