A comprehensive review of unmanned aerial vehicle-based approaches to support photovoltaic plant diagnosis

Author:

Michail AnnaORCID,Livera Andreas,Tziolis Georgios,Carús Candás Juan Luis,Fernandez Alberto,Antuña Yudego Elena,Fernández Martínez Diego,Antonopoulos Angelos,Tripolitsiotis Achilleas,Partsinevelos Panagiotis,Koutroulis Eftichis,Georghiou George E.

Funder

University of Cyprus

European Commission

Research and Innovation Foundation

Horizon 2020

Publisher

Elsevier BV

Reference160 articles.

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3. Modeling and fault Categorization in thin-film and crystalline PV arrays through multilayer neural network algorithm;Ul-haq;IEEE Access,2020

4. Failure diagnosis and trend‐based performance losses routines for the detection and classification of incidents in large‐scale photovoltaic systems;Livera;Prog. Photovoltaics Res. Appl.,2022

5. Correcting for perspective distortion in electroluminescence images of photovoltaic panels;Mantel,2018

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