2023
DOI: 10.3390/s23156749
|View full text |Cite
|
Sign up to set email alerts
|

IoT System Based on Artificial Intelligence for Hot Spot Detection in Photovoltaic Modules for a Wide Range of Irradiances

Leonardo Cardinale-Villalobos,
Efren Jimenez-Delgado,
Yariel García-Ramírez
et al.

Abstract: Infrared thermography (IRT) is a technique used to diagnose Photovoltaic (PV) installations to detect sub-optimal conditions. The increase of PV installations in smart cities has generated the search for technology that improves the use of IRT, which requires irradiance conditions to be greater than 700 W/m2, making it impossible to use at times when irradiance goes under that value. This project presents an IoT platform working on artificial intelligence (AI) which automatically detects hot spots in PV module… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
2
1
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 39 publications
0
1
0
Order By: Relevance
“…However, addressing the challenges of data privacy, bias, cyber-security, and regulatory frameworks is critical to ensure AI-supported transformations are successful and beneficial to all stakeholders (especially in the face of large energy companies and geopolitical players). Continuous monitoring and adaptation is essential as the energy sector evolves in response to technological advances [36][37][38].…”
Section: Discussionmentioning
confidence: 99%
“…However, addressing the challenges of data privacy, bias, cyber-security, and regulatory frameworks is critical to ensure AI-supported transformations are successful and beneficial to all stakeholders (especially in the face of large energy companies and geopolitical players). Continuous monitoring and adaptation is essential as the energy sector evolves in response to technological advances [36][37][38].…”
Section: Discussionmentioning
confidence: 99%