Intelligent Detection of the PV Faults Based on Artificial Neural Network and Type 2 Fuzzy Systems

Intelligent Detection of the PV Faults Based on Artificial Neural Network and Type 2 Fuzzy Systems

The real-time application research on the Fuzzy Logic Systems (FLSs) and Artificial Neural Networks (ANN) is vast and, in this paper, a technique for a photovoltaic failure analysis using the type 2 FLS and ANN is proposed. The method is proposed to build T2 FLS with a guaranteed value equal to or l...

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Bibliographic Details
Main Authors: Ramadoss Janarthanan, R. Uma Maheshwari, Prashant Kumar Shukla, Piyush Kumar Shukla, Seyedali Mirjalili, Manoj Kumar
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Energies
Subjects:
type 2 fuzzy logic systems
artificial neural network
machine learning
photovoltaic (PV) fault detection
Online Access:https://www.mdpi.com/1996-1073/14/20/6584

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