Exciting New Publication in ‘Expert Systems With Applications‘ by University of Jaen, University of Granada and Sapienza University of Rome collaboration.
The paper titled “Estimating Soiling on Solar Photovoltaic Panels Using Machine Learning Models” presents a novel methodology to accurately estimate the extent of soiling on solar panels, ultimately improving their overall performance and efficiency. This research holds great promise for optimizing energy production and enhancing the effectiveness of solar power systems.
By accurately forecasting soiling on photovoltaic panels, solar power system operators can proactively address the issue and take appropriate measures to ensure optimal performance. By minimizing the impact of soiling, energy production can be maximized, leading to greater efficiency and increased sustainability.
The collaboration between the University of Jaén, University of Granada and the Sapienza University of Rome has paved the way for significant advancements in the field of solar energy and Big Data. This research demonstrates the effectiveness of employing machine learning techniques in solving real-world challenges faced by the solar industry. The groundbreaking findings from this study serve as a catalyst for further exploration and innovation in the domain.
A special thanks to the authors of this publication for their dedication: Luiza Araujo Costa Silva, Luis Gonzaga Baca Ruiz , David Criado Ramón, João Gabriel Bessa, Leonardo Micheli and Maria del Carmen Pegalajar Jiménez
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