A data-driven approach to automate cleaning event detection in PV systems for accurate quantification of soiling loss across varying installation capacities

Key Points

• Accurate quantification of soiling loss is crucial for optimizing photovoltaic system performance, enhancing energy output.
• The study demonstrates a novel data-driven approach for automating cleaning event detection, which improves efficiency and effectiveness.
• Utilizing sensors and algorithms, this method can adapt to varying installation capacities, making it versatile across different setups.
• Findings highlight the potential for better maintenance practices, potentially leading to increased energy production and cost savings.