Intelligent Fault Detection of Photovoltaic Plants Using Multimodal Approaches
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A2: Solar Energy and Photovoltaic Systems".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 66
Special Issue Editors
Interests: fault detection; crack detection; inspection; electroluminescence
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleague,
This Special Issue aims to explore the intersection of computer vision technology and fault detection in photovoltaic (PV) plants. With the growing adoption of renewable energy sources like solar power, the efficient operation and maintenance of PV plants are paramount. Computer vision, signal processing, and other multi-modal techniques offer promising solutions for automating fault detection processes, enabling early identification and intervention to optimize plant performance and reliability. This Special Issue welcomes contributions that present novel algorithms, methodologies, case studies, and applications of computer vision for intelligent fault detection in PV plants.
Topics of interest include, but are not limited to,
- Image processing
- machine learning
- deep learning
- anomaly detection, and remote sensing techniques applied to PV plant monitoring and diagnostics.
The goal is to provide a platform for researchers, engineers, and practitioners to exchange ideas, share insights, and advance the state-of-the-art in this critical area of renewable energy technology.
Dr. Muhammad Hussain
Prof. Dr. Richard Hill
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- computer vision
- fault detection
- photovoltaic plants
- signal processing
- image processing
- machine learning
- deep learning
- anomaly detection
- remote sensing
- monitoring
- diagnostics
- solar energy
- intelligent systems
- automation
- optimization
