Fault Prediction and Early-Detection in Large PV Power Plants Based on Self-Organizing Maps

Fault Prediction and Early-Detection in Large PV Power Plants Based on Self-Organizing Maps

In this paper, a novel and flexible solution for fault prediction based on data collected from Supervisory Control and Data Acquisition (SCADA) system is presented. Generic fault/status prediction is offered by means of a data driven approach based on a self-organizing map (SOM) and the definition o...

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Bibliographic Details
Main Authors: Alessandro Betti, Mauro Tucci, Emanuele Crisostomi, Antonio Piazzi, Sami Barmada, Dimitri Thomopulos
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
PV plants
self-organizing maps
fault prediction
inverter module
key performance indicator
lost production
Online Access:https://www.mdpi.com/1424-8220/21/5/1687

Internet

https://www.mdpi.com/1424-8220/21/5/1687

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