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Prognostics and health management of photovoltaic systems based on deep learning: A state-of-the-art review and future perspectives
Zhonghao Chang,
Te Han
*
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Corresponding author for this work
School of Management
Beijing Institute of Technology
Beijing Laboratory for System Engineering of Carbon Neutrality
Research output
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Contribution to journal
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Review article
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peer-review
2
Citations (Scopus)
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Engineering
Deep Learning
100%
Photovoltaic System
100%
Photovoltaics
55%
Tasks
11%
Applicability
11%
Internet of Things
11%
Engineering Application
11%
Condition Monitoring
11%
Comprehensive Review
11%
Source Data
11%
Solar Power Generation
11%
Fault Diagnosis
11%
Focal Point
11%
Generation Capacity
11%
Lead Model
11%
Computer Science
Deep Learning
100%
Internet of Things
20%
Task Management
20%
Convolutional Neural Network
20%
Deep Learning
20%
Heterogeneous Data
20%
Widespread Application
20%
Engineering Application
20%
Fault Diagnosis
20%
Open Source
20%
Deep Learning Model
20%
Condition Monitoring
20%
Enabling System
20%
Psychology
Internet of Things
100%
Learning Model
100%
Chemical Engineering
Deep Learning
100%
Condition Monitoring
14%
Material Science
Photovoltaics
100%