State-of-the-Art Artificial Intelligence Models for PV Fault Detection
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "K: State-of-the-Art Energy Related Technologies".
Deadline for manuscript submissions: closed (25 March 2022) | Viewed by 3946
Special Issue Editors
Interests: photovoltaics; renewable energy; artificial intelligence; fault detection; power electronics
Special Issues, Collections and Topics in MDPI journals
Interests: renewable generation; power electronics converters & control; electric vehicle; more electric ship/aircraft; smart energy system and non-destructive test technology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Even with the consistent growth in global photovoltaic (PV) capacity, the necessity for fault detection in PV systems has not been widely addressed regardless of its importance. Therefore, this Special Issue aims to solicit original and high-quality research articles related to the aforementioned topics. In particular, topics of interest include but are not limited to:
- PV fault detection and classification using mathematical and statistical-based algorithms;
- PV fault detection and classification using artificial intelligence (AI) models;
- Degradation estimation of PV systems;
- On-site characterization and inspection of PV systems (photoluminescence, thermography, electroluminescence).
Other relevant topics will also be considered.
Dr. Mahmoud Dhimish
Prof. Dr. Yihua Hu
Guest Editors
Manuscript Submission Information
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Keywords
- PV fault detection and classification using mathematical and statistical-based algorithms
- PV fault detection and classification using artificial intelligence (AI) models
- degradation estimation of PV systems
- on-site characterization and inspection of PV systems
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