Advanced Health-State Data Analytic Workflow for Utility-Scale Photovoltaic Power Plants-Reference-Cited by-同舟云学术

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Advanced Health-State Data Analytic Workflow for Utility-Scale Photovoltaic Power Plants

Published:2023-06-11 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 50th Photovoltaic Specialists Conference (PVSC)
language:
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Author:

Montes-Romero Jesus¹,Pikolos Loucas¹,Makrides Andreas¹,Heinzle Nino²,Makrides George¹,Sutterlueti Juergen²,Ransome Steve³,Georghiou George E.¹

Affiliation:

1. University of Cyprus,PV Technology Laboratory, FOSS Research Centre for Sustainable Energy,Department of Electrical and Computer Engineering,Nicosia,Cyprus,1678

2. Gantner Instruments GmbH,Schruns,Austria,6780

3. Steve Ransome Consulting Ltd,Kingston upon Thames,United Kingdom,KT2 6AF #99

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10359507/10359504/10360047.pdf?arnumber=10360047

Reference13 articles.

1. Automatic supervision and fault detection of PV systems based on power losses analysis

2. Advanced system monitoring and artificial intelligent data-driven analytics to serve GW scale photovoltaic power plant requirements;Sutterlueti,2022

3. Photovoltaic Failure Detection Based on String-Inverter Voltage and Current Signals

4. Recent advances in failure diagnosis techniques based on performance data analysis for grid-connected photovoltaic systems

5. Statistics to Detect Low-Intensity Anomalies in PV Systems

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Novel data-driven health-state architecture for photovoltaic system failure diagnosis;Solar Energy;2024-09

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