The rapid growth of Renewable Energy Sources and, in particular, of photovoltaic (PV) increase the importance of effective and accurate tool for plant inspection. The Artificial Intelligence (AI) applied to PV plant thermographies acquired by Unmanned Aerial Systems (UAS) provide a boost to the productivity thanks to a faster and more effective anomaly detection that determines valuable impact on margin increase and technical resolution of issues over photovoltaic power plants

Enel Green Power’s AI Tool for Anomaly Detection on PV Plant Thermographies Collected with UAS

Niccolai, Alessandro
2021-01-01

Abstract

The rapid growth of Renewable Energy Sources and, in particular, of photovoltaic (PV) increase the importance of effective and accurate tool for plant inspection. The Artificial Intelligence (AI) applied to PV plant thermographies acquired by Unmanned Aerial Systems (UAS) provide a boost to the productivity thanks to a faster and more effective anomaly detection that determines valuable impact on margin increase and technical resolution of issues over photovoltaic power plants
2021
2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
978-1-6654-3613-7
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1203366
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