Euclidean Distance-Based Tree Algorithm for Fault Detection and Diagnosis in Photovoltaic Systems

Euclidean Distance-Based Tree Algorithm for Fault Detection and Diagnosis in Photovoltaic Systems

In this paper, a new methodology for fault detection and diagnosis in photovoltaic systems is proposed. This method employs a novel Euclidean distance-based tree algorithm to classify various considered faults. Unlike the decision tree, which requires the use of the Gini index to split the data, thi...

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Bibliographic Details
Main Authors: Youssouf Mouleloued, Kamel Kara, Aissa Chouder, Abdelhadi Aouaichia, Santiago Silvestre
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Energies
Subjects:
fault detection and diagnosis
FDD
supervision algorithm
binary classification
short circuits
partial shading
Online Access:https://www.mdpi.com/1996-1073/18/7/1773
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