Machine Learning Based Simulation for Fault Detection in Microgrids-Reference-Cited by-同舟云学术

Machine Learning Based Simulation for Fault Detection in Microgrids

Published:2022-12-11 Issue: Volume: Page:
ISSN:
Container-title:2022 Winter Simulation Conference (WSC)
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Author:

Darville Joshua¹,Runsewe Temitope¹,Yavuz Abdurrahman¹,Celik Nurcin¹

Affiliation:

1. University of Miami,Department of Industrial and Systems Engineering,Coral Gables,FL,USA,33146

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10015196/10015230/10015473.pdf?arnumber=10015473

Reference34 articles.

1. Advancing Self-Healing Capabilities in Interconnected Microgrids via DDDAS with Relational Database Management;yavuz;Proceedings of the 2020 Winter Simulation Conference,0

2. PV arrays reconfiguration for partial shading mitigation: Recent advances, challenges and perspectives

3. In-situ optimization of thermoset composite additive manufacturing via deep learning and computer vision

4. Line-to-Line Fault Detection for Photovoltaic Arrays Based on Multiresolution Signal Decomposition and Two-Stage Support Vector Machine

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