As solar photovoltaic (PV) systems continue to expand worldwide, ensuring their reliability and efficiency has become a key responsibility for renewable energy engineers and operators. While solar ...

Abstract: Monitoring and optimizing solar photovoltaic (PV) systems is vital for improving renewable energy productivity. However, manual analysis of solar panel performance using imagery is ...

Abstract: The rapid growth of photovoltaic (PV) systems has necessitated efficient monitoring and maintenance to ensure their optimal performance. The project focuses on automating the process of ...

A high-performance attendance system using Next.js with and ML-server using Flask, RetinaFace for face detection and ArcFace for recognition, achieving 95%+ accuracy. Deployed on Azure with Prometheus ...

Researchers at the Dubai Electricity and Water Authority (DEWA) R&D Center have developed a novel sensorless self-thermometry approach to estimate PV module operating temperature. Dubbed the ...

Cleaning PV (photovoltaic) panels is essential for a PV station, as dirt or dust reduces the effective irradiation of solar energy and weakens the efficiency of converting solar energy into free ...

Scientists at Tarim University of China have proposed a way to address the challenging problem of pose recognition for photovoltaic panel cleaning robots. Their novel ...

ABSTRACT: The adoption of photovoltaic (PV) systems in modern electrical grids has expanded rapidly due to their economic and environmental benefits. However, these systems are prone to faults—such as ...

The detection of solar photovoltaic (PV) panels using aerial imagery and deep learning has emerged as a critical field in renewable energy research. Recent advancements in computer vision and machine ...

The SOPHIA project aims to increase the current reuse, repair and recycling rates of end-of-life solar panels. For the evaluation of their State-of-Health (SoH), a prototype will be developed for a ...