Genetic-Algorithm-Based Neural Network for Fault Detection and Diagnosis: Application to Grid-Connected Photovoltaic Systems

Genetic-Algorithm-Based Neural Network for Fault Detection and Diagnosis: Application to Grid-Connected Photovoltaic Systems

<p dir="ltr">Modern photovoltaic (PV) systems have received significant attention regarding fault detection and diagnosis (FDD) for enhancing their operation by boosting their dependability, availability, and necessary safety. As a result, the problem of FDD in grid-connected PV (GCP...

Full description

Saved in:
Bibliographic Details
Main Author: Amal Hichri (21383672) (author)
Other Authors: Mansour Hajji (16869894) (author), Majdi Mansouri (16869885) (author), Kamaleldin Abodayeh (16904865) (author), Kais Bouzrara (16869906) (author), Hazem Nounou (16869900) (author), Mohamed Nounou (3489386) (author)
Published: 2022
Subjects:
Engineering
Electrical engineering
Information and computing sciences
Artificial intelligence
Machine learning
grid connected photovoltaic (GCPV) systems
fault detection and diagnosis (FDD)
artificial neural network (ANN)
genetic algorithm (GA)
feature selection (FS)
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items